Search (45 results, page 1 of 3)

  • × theme_ss:"Folksonomies"
  1. Peters, I.: Folksonomies, social tagging and information retrieval (2011) 0.06
    0.055363867 = product of:
      0.110727735 = sum of:
        0.050096344 = weight(_text_:retrieval in 4907) [ClassicSimilarity], result of:
          0.050096344 = score(doc=4907,freq=8.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.40105087 = fieldWeight in 4907, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=4907)
        0.036299463 = weight(_text_:use in 4907) [ClassicSimilarity], result of:
          0.036299463 = score(doc=4907,freq=4.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.2870708 = fieldWeight in 4907, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.046875 = fieldNorm(doc=4907)
        0.017710768 = weight(_text_:of in 4907) [ClassicSimilarity], result of:
          0.017710768 = score(doc=4907,freq=14.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.2742677 = fieldWeight in 4907, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=4907)
        0.006621159 = product of:
          0.013242318 = sum of:
            0.013242318 = weight(_text_:on in 4907) [ClassicSimilarity], result of:
              0.013242318 = score(doc=4907,freq=2.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.14580199 = fieldWeight in 4907, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4907)
          0.5 = coord(1/2)
      0.5 = coord(4/8)
    
    Abstract
    Services in Web 2.0 generate a large quantity of information, distributed over a range of resources (e.g. photos, URLs, videos) and integrated into different platforms (e.g. social bookmarking systems, sharing platforms (Peters, 2009). To adequately use this mass of information and to extract it from the platforms, users must be equipped with suitable tools and knowledge. After all, the best information is useless if users cannot find it: 'The model of information consumption relies on the information being found' (Vander Wal, 2004). In Web 2.0, the retrieval component has been established through so-called folksonomies (Vander Wal, 2005a), which are considered as several combinations of an information resource, one or more freely chosen keywords ('tags') and a user. Web 2.0 services that use folksonomies as an indexing and retrieval tool are defined as 'collaborative information services' because they allow for the collaborative creation of a public database that is accessible to all users (registered, where necessary) via the tags of the folksonomy (Ding et al., 2009; Heymann, Paepcke and Garcia-Molina, 2010).
    Source
    Innovations in information retrieval: perspectives for theory and practice. Eds.: A. Foster, u. P. Rafferty
  2. Peters, I.; Stock, W.G.: Power tags in information retrieval (2010) 0.05
    0.047385883 = product of:
      0.094771765 = sum of:
        0.051129367 = weight(_text_:retrieval in 865) [ClassicSimilarity], result of:
          0.051129367 = score(doc=865,freq=12.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.40932083 = fieldWeight in 865, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=865)
        0.021389665 = weight(_text_:use in 865) [ClassicSimilarity], result of:
          0.021389665 = score(doc=865,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.1691581 = fieldWeight in 865, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0390625 = fieldNorm(doc=865)
        0.0167351 = weight(_text_:of in 865) [ClassicSimilarity], result of:
          0.0167351 = score(doc=865,freq=18.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.25915858 = fieldWeight in 865, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=865)
        0.0055176322 = product of:
          0.0110352645 = sum of:
            0.0110352645 = weight(_text_:on in 865) [ClassicSimilarity], result of:
              0.0110352645 = score(doc=865,freq=2.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.121501654 = fieldWeight in 865, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=865)
          0.5 = coord(1/2)
      0.5 = coord(4/8)
    
    Abstract
    Purpose - Many Web 2.0 services (including Library 2.0 catalogs) make use of folksonomies. The purpose of this paper is to cut off all tags in the long tail of a document-specific tag distribution. The remaining tags at the beginning of a tag distribution are considered power tags and form a new, additional search option in information retrieval systems. Design/methodology/approach - In a theoretical approach the paper discusses document-specific tag distributions (power law and inverse-logistic shape), the development of such distributions (Yule-Simon process and shuffling theory) and introduces search tags (besides the well-known index tags) as a possibility for generating tag distributions. Findings - Search tags are compatible with broad and narrow folksonomies and with all knowledge organization systems (e.g. classification systems and thesauri), while index tags are only applicable in broad folksonomies. Based on these findings, the paper presents a sketch of an algorithm for mining and processing power tags in information retrieval systems. Research limitations/implications - This conceptual approach is in need of empirical evaluation in a concrete retrieval system. Practical implications - Power tags are a new search option for retrieval systems to limit the amount of hits. Originality/value - The paper introduces power tags as a means for enhancing the precision of search results in information retrieval systems that apply folksonomies, e.g. catalogs in Library 2.0environments.
  3. Furner, J.: Folksonomies (2009) 0.05
    0.045954227 = product of:
      0.091908455 = sum of:
        0.033397563 = weight(_text_:retrieval in 3857) [ClassicSimilarity], result of:
          0.033397563 = score(doc=3857,freq=2.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.26736724 = fieldWeight in 3857, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0625 = fieldNorm(doc=3857)
        0.03422346 = weight(_text_:use in 3857) [ClassicSimilarity], result of:
          0.03422346 = score(doc=3857,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.27065295 = fieldWeight in 3857, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0625 = fieldNorm(doc=3857)
        0.0154592255 = weight(_text_:of in 3857) [ClassicSimilarity], result of:
          0.0154592255 = score(doc=3857,freq=6.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.23940048 = fieldWeight in 3857, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0625 = fieldNorm(doc=3857)
        0.008828212 = product of:
          0.017656423 = sum of:
            0.017656423 = weight(_text_:on in 3857) [ClassicSimilarity], result of:
              0.017656423 = score(doc=3857,freq=2.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.19440265 = fieldWeight in 3857, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0625 = fieldNorm(doc=3857)
          0.5 = coord(1/2)
      0.5 = coord(4/8)
    
    Abstract
    Folksonomies are indexing languages that emerge from the distributed resource-description activity of multiple agents who make use of online tagging services to assign tags (i.e., category labels) to the resources in collections. Although individuals' motivations for engaging in tagging activity vary widely, folksonomy-based retrieval systems can be evaluated by measuring the degree to which taggers and searchers agree on tag-resource pairings.
    Source
    Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates
  4. Yi, K.; Chan, L.M.: Linking folksonomy to Library of Congress subject headings : an exploratory study (2009) 0.03
    0.03465236 = product of:
      0.06930472 = sum of:
        0.023615643 = weight(_text_:retrieval in 3616) [ClassicSimilarity], result of:
          0.023615643 = score(doc=3616,freq=4.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.18905719 = fieldWeight in 3616, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03125 = fieldNorm(doc=3616)
        0.01711173 = weight(_text_:use in 3616) [ClassicSimilarity], result of:
          0.01711173 = score(doc=3616,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.13532647 = fieldWeight in 3616, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.03125 = fieldNorm(doc=3616)
        0.02093189 = weight(_text_:of in 3616) [ClassicSimilarity], result of:
          0.02093189 = score(doc=3616,freq=44.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.3241498 = fieldWeight in 3616, product of:
              6.6332498 = tf(freq=44.0), with freq of:
                44.0 = termFreq=44.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.03125 = fieldNorm(doc=3616)
        0.007645456 = product of:
          0.015290912 = sum of:
            0.015290912 = weight(_text_:on in 3616) [ClassicSimilarity], result of:
              0.015290912 = score(doc=3616,freq=6.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.16835764 = fieldWeight in 3616, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.03125 = fieldNorm(doc=3616)
          0.5 = coord(1/2)
      0.5 = coord(4/8)
    
    Abstract
    Purpose - The purpose of this paper is to investigate the linking of a folksonomy (user vocabulary) and LCSH (controlled vocabulary) on the basis of word matching, for the potential use of LCSH in bringing order to folksonomies. Design/methodology/approach - A selected sample of a folksonomy from a popular collaborative tagging system, Delicious, was word-matched with LCSH. LCSH was transformed into a tree structure called an LCSH tree for the matching. A close examination was conducted on the characteristics of folksonomies, the overlap of folksonomies with LCSH, and the distribution of folksonomies over the LCSH tree. Findings - The experimental results showed that the total proportion of tags being matched with LC subject headings constituted approximately two-thirds of all tags involved, with an additional 10 percent of the remaining tags having potential matches. A number of barriers for the linking as well as two areas in need of improving the matching are identified and described. Three important tag distribution patterns over the LCSH tree were identified and supported: skewedness, multifacet, and Zipfian-pattern. Research limitations/implications - The results of the study can be adopted for the development of innovative methods of mapping between folksonomy and LCSH, which directly contributes to effective access and retrieval of tagged web resources and to the integration of multiple information repositories based on the two vocabularies. Practical implications - The linking of controlled vocabularies can be applicable to enhance information retrieval capability within collaborative tagging systems as well as across various tagging system information depositories and bibliographic databases. Originality/value - This is among frontier works that examines the potential of linking a folksonomy, extracted from a collaborative tagging system, to an authority-maintained subject heading system. It provides exploratory data to support further advanced mapping methods for linking the two vocabularies.
    Source
    Journal of documentation. 65(2009) no.6, S.872-900
  5. Morrison, P.J.: Tagging and searching : search retrieval effectiveness of folksonomies on the World Wide Web (2008) 0.03
    0.03414799 = product of:
      0.06829598 = sum of:
        0.035423465 = weight(_text_:retrieval in 2109) [ClassicSimilarity], result of:
          0.035423465 = score(doc=2109,freq=4.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.2835858 = fieldWeight in 2109, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=2109)
        0.009466803 = weight(_text_:of in 2109) [ClassicSimilarity], result of:
          0.009466803 = score(doc=2109,freq=4.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.14660224 = fieldWeight in 2109, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=2109)
        0.006621159 = product of:
          0.013242318 = sum of:
            0.013242318 = weight(_text_:on in 2109) [ClassicSimilarity], result of:
              0.013242318 = score(doc=2109,freq=2.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.14580199 = fieldWeight in 2109, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2109)
          0.5 = coord(1/2)
        0.016784549 = product of:
          0.033569098 = sum of:
            0.033569098 = weight(_text_:22 in 2109) [ClassicSimilarity], result of:
              0.033569098 = score(doc=2109,freq=2.0), product of:
                0.1446067 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.041294612 = queryNorm
                0.23214069 = fieldWeight in 2109, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2109)
          0.5 = coord(1/2)
      0.5 = coord(4/8)
    
    Abstract
    Many Web sites have begun allowing users to submit items to a collection and tag them with keywords. The folksonomies built from these tags are an interesting topic that has seen little empirical research. This study compared the search information retrieval (IR) performance of folksonomies from social bookmarking Web sites against search engines and subject directories. Thirty-four participants created 103 queries for various information needs. Results from each IR system were collected and participants judged relevance. Folksonomy search results overlapped with those from the other systems, and documents found by both search engines and folksonomies were significantly more likely to be judged relevant than those returned by any single IR system type. The search engines in the study had the highest precision and recall, but the folksonomies fared surprisingly well. Del.icio.us was statistically indistinguishable from the directories in many cases. Overall the directories were more precise than the folksonomies but they had similar recall scores. Better query handling may enhance folksonomy IR performance further. The folksonomies studied were promising, and may be able to improve Web search performance.
    Date
    1. 8.2008 12:39:22
  6. Kim, H.H.: Toward video semantic search based on a structured folksonomy (2011) 0.03
    0.03328947 = product of:
      0.06657894 = sum of:
        0.020873476 = weight(_text_:retrieval in 4350) [ClassicSimilarity], result of:
          0.020873476 = score(doc=4350,freq=2.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.16710453 = fieldWeight in 4350, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4350)
        0.021389665 = weight(_text_:use in 4350) [ClassicSimilarity], result of:
          0.021389665 = score(doc=4350,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.1691581 = fieldWeight in 4350, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4350)
        0.014758972 = weight(_text_:of in 4350) [ClassicSimilarity], result of:
          0.014758972 = score(doc=4350,freq=14.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.22855641 = fieldWeight in 4350, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4350)
        0.00955682 = product of:
          0.01911364 = sum of:
            0.01911364 = weight(_text_:on in 4350) [ClassicSimilarity], result of:
              0.01911364 = score(doc=4350,freq=6.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.21044704 = fieldWeight in 4350, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4350)
          0.5 = coord(1/2)
      0.5 = coord(4/8)
    
    Abstract
    This study investigated the effectiveness of query expansion using synonymous and co-occurrence tags in users' video searches as well as the effect of visual storyboard surrogates on users' relevance judgments when browsing videos. To do so, we designed a structured folksonomy-based system in which tag queries can be expanded via synonyms or co-occurrence words, based on the use of WordNet 2.1 synonyms and Flickr's related tags. To evaluate the structured folksonomy-based system, we conducted an experiment, the results of which suggest that the mean recall rate in the structured folksonomy-based system is statistically higher than that in a tag-based system without query expansion; however, the mean precision rate in the structured folksonomy-based system is not statistically higher than that in the tag-based system. Next, we compared the precision rates of the proposed system with storyboards (SB), in which SB and text metadata are shown to users when they browse video search results, with those of the proposed system without SB, in which only text metadata are shown. Our result showed that browsing only text surrogates-including tags without multimedia surrogates-is not sufficient for users' relevance judgments.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.3, S.478-492
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  7. Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008) 0.03
    0.030723525 = product of:
      0.06144705 = sum of:
        0.021389665 = weight(_text_:use in 2652) [ClassicSimilarity], result of:
          0.021389665 = score(doc=2652,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.1691581 = fieldWeight in 2652, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2652)
        0.014758972 = weight(_text_:of in 2652) [ClassicSimilarity], result of:
          0.014758972 = score(doc=2652,freq=14.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.22855641 = fieldWeight in 2652, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2652)
        0.0055176322 = product of:
          0.0110352645 = sum of:
            0.0110352645 = weight(_text_:on in 2652) [ClassicSimilarity], result of:
              0.0110352645 = score(doc=2652,freq=2.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.121501654 = fieldWeight in 2652, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2652)
          0.5 = coord(1/2)
        0.019780781 = product of:
          0.039561562 = sum of:
            0.039561562 = weight(_text_:22 in 2652) [ClassicSimilarity], result of:
              0.039561562 = score(doc=2652,freq=4.0), product of:
                0.1446067 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.041294612 = queryNorm
                0.27358043 = fieldWeight in 2652, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2652)
          0.5 = coord(1/2)
      0.5 = coord(4/8)
    
    Abstract
    Folksonomy is the result of describing Web resources with tags created by Web users. Although it has become a popular application for the description of resources, in general terms Folksonomies are not being conveniently integrated in metadata. However, if the appropriate metadata elements are identified, then further work may be conducted to automatically assign tags to these elements (RDF properties) and use them in Semantic Web applications. This article presents research carried out to continue the project Kinds of Tags, which intends to identify elements required for metadata originating from folksonomies and to propose an application profile for DC Social Tagging. The work provides information that may be used by software applications to assign tags to metadata elements and, therefore, means for tags to be conveniently gathered by metadata interoperability tools. Despite the unquestionably high value of DC and the significance of the already existing properties in DC Terms, the pilot study show revealed a significant number of tags for which no corresponding properties yet existed. A need for new properties, such as Action, Depth, Rate, and Utility was determined. Those potential new properties will have to be validated in a later stage by the DC Social Tagging Community.
    Pages
    S.14-22
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  8. Macgregor, G.; McCulloch, E.: Collaborative tagging as a knowledge organisation and resource discovery tool (2006) 0.02
    0.023950525 = product of:
      0.06386807 = sum of:
        0.020873476 = weight(_text_:retrieval in 764) [ClassicSimilarity], result of:
          0.020873476 = score(doc=764,freq=2.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.16710453 = fieldWeight in 764, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=764)
        0.021389665 = weight(_text_:use in 764) [ClassicSimilarity], result of:
          0.021389665 = score(doc=764,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.1691581 = fieldWeight in 764, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0390625 = fieldNorm(doc=764)
        0.021604925 = weight(_text_:of in 764) [ClassicSimilarity], result of:
          0.021604925 = score(doc=764,freq=30.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.33457235 = fieldWeight in 764, product of:
              5.477226 = tf(freq=30.0), with freq of:
                30.0 = termFreq=30.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=764)
      0.375 = coord(3/8)
    
    Abstract
    Purpose - The purpose of the paper is to provide an overview of the collaborative tagging phenomenon and explore some of the reasons for its emergence. Design/methodology/approach - The paper reviews the related literature and discusses some of the problems associated with, and the potential of, collaborative tagging approaches for knowledge organisation and general resource discovery. A definition of controlled vocabularies is proposed and used to assess the efficacy of collaborative tagging. An exposition of the collaborative tagging model is provided and a review of the major contributions to the tagging literature is presented. Findings - There are numerous difficulties with collaborative tagging systems (e.g. low precision, lack of collocation, etc.) that originate from the absence of properties that characterise controlled vocabularies. However, such systems can not be dismissed. Librarians and information professionals have lessons to learn from the interactive and social aspects exemplified by collaborative tagging systems, as well as their success in engaging users with information management. The future co-existence of controlled vocabularies and collaborative tagging is predicted, with each appropriate for use within distinct information contexts: formal and informal. Research limitations/implications - Librarians and information professional researchers should be playing a leading role in research aimed at assessing the efficacy of collaborative tagging in relation to information storage, organisation, and retrieval, and to influence the future development of collaborative tagging systems. Practical implications - The paper indicates clear areas where digital libraries and repositories could innovate in order to better engage users with information. Originality/value - At time of writing there were no literature reviews summarising the main contributions to the collaborative tagging research or debate.
  9. Bar-Ilan, J.; Belous, Y.: Children as architects of Web directories : an exploratory study (2007) 0.02
    0.020929301 = product of:
      0.05581147 = sum of:
        0.029519552 = weight(_text_:retrieval in 289) [ClassicSimilarity], result of:
          0.029519552 = score(doc=289,freq=4.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.23632148 = fieldWeight in 289, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=289)
        0.0167351 = weight(_text_:of in 289) [ClassicSimilarity], result of:
          0.0167351 = score(doc=289,freq=18.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.25915858 = fieldWeight in 289, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=289)
        0.00955682 = product of:
          0.01911364 = sum of:
            0.01911364 = weight(_text_:on in 289) [ClassicSimilarity], result of:
              0.01911364 = score(doc=289,freq=6.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.21044704 = fieldWeight in 289, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=289)
          0.5 = coord(1/2)
      0.375 = coord(3/8)
    
    Abstract
    Children are increasingly using the Web. Cognitive theory tells us that directory structures are especially suited for information retrieval by children; however, empirical results show that they prefer keyword searching. One of the reasons for these findings could be that the directory structures and terminology are created by grown-ups. Using a card-sorting method and an enveloping system, we simulated the structure of a directory. Our goal was to try to understand what browsable, hierarchical subject categories children create when suggested terms are supplied and they are free to add or delete terms. Twelve groups of four children each (fourth and fifth graders) participated in our exploratory study. The initial terminology presented to the children was based on names of categories used in popular directories, in the sections on Arts, Television, Music, Cinema, and Celebrities. The children were allowed to introduce additional cards and change the terms appearing on the 61 cards. Findings show that the different groups reached reasonable consensus; the majority of the category names used by existing directories were acceptable by them and only a small minority of the terms caused confusion. Our recommendation is to include children in the design process of directories, not only in designing the interface but also in designing the content structure as well.
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.895-907
    Theme
    Klassifikationssysteme im Online-Retrieval
  10. Park, H.: ¬A conceptual framework to study folksonomic interaction (2011) 0.02
    0.018193804 = product of:
      0.04851681 = sum of:
        0.021389665 = weight(_text_:use in 4852) [ClassicSimilarity], result of:
          0.021389665 = score(doc=4852,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.1691581 = fieldWeight in 4852, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4852)
        0.019324033 = weight(_text_:of in 4852) [ClassicSimilarity], result of:
          0.019324033 = score(doc=4852,freq=24.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.2992506 = fieldWeight in 4852, product of:
              4.8989797 = tf(freq=24.0), with freq of:
                24.0 = termFreq=24.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4852)
        0.007803111 = product of:
          0.015606222 = sum of:
            0.015606222 = weight(_text_:on in 4852) [ClassicSimilarity], result of:
              0.015606222 = score(doc=4852,freq=4.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.1718293 = fieldWeight in 4852, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4852)
          0.5 = coord(1/2)
      0.375 = coord(3/8)
    
    Abstract
    This paper proposes a conceptual framework to recast a folksonomy as a Web classification and to use this to explore the ways in which people work with it in assessing, sharing, and navigating Web resources. The author uses information scent and foraging theory as a context to discuss how folksonomy is constructed through interactions among users, a folksonomic system, and a given domain that consists of a group of users who share the same interest or goals. The discussion centers on two dimensions of folksonomies: (1) folksonomy as a Web classification which puts like information together in a Web context; and (2) folksonomy as information scent which helps users to find related resources and users, and obtain desired information. This paper aims to integrate these two dimensions with a conceptual framework that addresses the structure of a folksonomy shaped by users' interactions. A proposed framework consists of three components of users' interactions with a folksonomy: (a) tagging - cognitive categorization of Web accessible resources by an individual user; (b) navigation - exploration and discovery of Web accessible resources in the folksonomic system; and (c) knowledge sharing - representation and communication of knowledge within a domain. This understanding will help us motivate possible future directions of research in folksonomy. This initial framework will frame a number of research questions and help lay the groundwork for future empirical research which focuses on qualitative analysis of a folksonomy and users' tagging behaviors.
  11. Sauperl, A.: UDC and Folksonomies (2010) 0.02
    0.017222952 = product of:
      0.045927875 = sum of:
        0.021389665 = weight(_text_:use in 4069) [ClassicSimilarity], result of:
          0.021389665 = score(doc=4069,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.1691581 = fieldWeight in 4069, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4069)
        0.0167351 = weight(_text_:of in 4069) [ClassicSimilarity], result of:
          0.0167351 = score(doc=4069,freq=18.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.25915858 = fieldWeight in 4069, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4069)
        0.007803111 = product of:
          0.015606222 = sum of:
            0.015606222 = weight(_text_:on in 4069) [ClassicSimilarity], result of:
              0.015606222 = score(doc=4069,freq=4.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.1718293 = fieldWeight in 4069, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4069)
          0.5 = coord(1/2)
      0.375 = coord(3/8)
    
    Abstract
    Social tagging systems, known as "folksonomies," represent an important part of web resource discovery as they enable free and unrestricted browsing through information space. Folksonomies consisting of subject designators (tags) assigned by users, however, have one important drawback: they do not express semantic relationships, either hierarchical or associative, between tags. As a consequence, the use of tags to browse information resources requires moving from one resource to another, based on coincidence and not on the pre-established meaningful or logical connections that may exist between related resources. We suggest that the semantic structure of the Universal Decimal Classification (UDC) may be used in complementing and supporting tag-based browsing. In this work, two specific questions were investigated: 1) Are terms used as tags in folksonomies included in the UDC?; and, 2) Which facets of UDC match the characteristics of documents or information objects that are tagged in folksonomies? A collection of the most popular tags from Amazon, LibraryThing, Delicious, and 43Things was investigated. The universal nature of UDC was examined through the universality of topics and facets covering diverse human interests which are at the same time interconnected and form a rich and intricate semantic structure. The results suggest that UDC-supported folksonomies could be implemented in resource discovery, in particular in library portals and catalogues.
  12. Spiteri, L.F.: Incorporating facets into social tagging applications : an analysis of current trends (2010) 0.01
    0.013343668 = product of:
      0.05337467 = sum of:
        0.029945528 = weight(_text_:use in 3561) [ClassicSimilarity], result of:
          0.029945528 = score(doc=3561,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.23682132 = fieldWeight in 3561, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3561)
        0.02342914 = weight(_text_:of in 3561) [ClassicSimilarity], result of:
          0.02342914 = score(doc=3561,freq=18.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.36282203 = fieldWeight in 3561, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3561)
      0.25 = coord(2/8)
    
    Abstract
    An increasingly difficult challenge in social tagging applications is negotiating the number of existing tags. This article examines the use of facets to facilitate the efficient organization and browsing of tags into manageable and distinct categories. Current and proposed methodologies for the application of facets in social tagging applications are evaluated. Results of this analysis indicate that these methodologies provide insufficient guidelines for the choice, evaluation, and maintenance of the facets. Suggestions are made to guide the design of a more rigorous methodology for the application of facets to social tagging applications.
  13. Hayman, S.; Lothian, N.: Taxonomy directed folksonomies : integrating user tagging and controlled vocabularies for Australian education networks (2007) 0.01
    0.013092719 = product of:
      0.034913916 = sum of:
        0.01711173 = weight(_text_:use in 705) [ClassicSimilarity], result of:
          0.01711173 = score(doc=705,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.13532647 = fieldWeight in 705, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.03125 = fieldNorm(doc=705)
        0.0133880805 = weight(_text_:of in 705) [ClassicSimilarity], result of:
          0.0133880805 = score(doc=705,freq=18.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.20732687 = fieldWeight in 705, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.03125 = fieldNorm(doc=705)
        0.004414106 = product of:
          0.008828212 = sum of:
            0.008828212 = weight(_text_:on in 705) [ClassicSimilarity], result of:
              0.008828212 = score(doc=705,freq=2.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.097201325 = fieldWeight in 705, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.03125 = fieldNorm(doc=705)
          0.5 = coord(1/2)
      0.375 = coord(3/8)
    
    Abstract
    What is the role of controlled vocabulary in a Web 2.0 world? Can we have the best of both worlds: balancing folksonomies and controlled vocabularies to help communities of users find and share information and resources most relevant to them? education.au develops and manages Australian online services for education and training. Its goal is to bring people, learning and technology together. education.au projects are increasingly involved in exploring the use of Web 2.0 developments building on user ideas, knowledge and experience, and how these might be integrated with existing information management systems. This paper presents work being undertaken in this area, particularly in relation to controlled vocabularies, and discusses the challenges faced. Education Network Australia (edna) is a leading online resource collection and collaborative network for education, with an extensive repository of selected educational resources with metadata created by educators and information specialists. It uses controlled vocabularies for metadata creation and searching, where users receive suggested related terms from an education thesaurus, with their results. We recognise that no formal thesaurus can keep pace with user needs so are interested in exploiting the power of folksonomies. We describe a proof of concept project to develop community contributions to managing information and resources, using Taxonomy-Directed Folksonomy. An established taxonomy from the Australian education sector suggests terms for tagging and users can suggest terms. Importantly, the folksonomy will feed back into the taxonomy showing gaps in coverage and helping us to monitor new terms and usage to improve and develop our formal taxonomies. This model would initially sit alongside the current edna repositories, tools and services but will give us valuable user contributed resources as well as information about how users manage resources. Observing terms suggested, chosen and used in folksonomies is a rich source of information for developing our formal systems so that we can indeed get the best of both worlds.
  14. Bullard, J.: Curated Folksonomies : three implementations of structure through human judgment (2018) 0.01
    0.012652023 = product of:
      0.05060809 = sum of:
        0.029945528 = weight(_text_:use in 5002) [ClassicSimilarity], result of:
          0.029945528 = score(doc=5002,freq=2.0), product of:
            0.12644777 = queryWeight, product of:
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.041294612 = queryNorm
            0.23682132 = fieldWeight in 5002, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0620887 = idf(docFreq=5623, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5002)
        0.020662563 = weight(_text_:of in 5002) [ClassicSimilarity], result of:
          0.020662563 = score(doc=5002,freq=14.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.31997898 = fieldWeight in 5002, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5002)
      0.25 = coord(2/8)
    
    Abstract
    Traditional knowledge organization approaches struggle to make large user-generated collections navigable, especially when these collections are quickly growing, in which currency is of particular concern, for which professional classification design is too costly. Many of these collections use folksonomies for labelling and organization as a low-cost but flawed knowledge organization approach. While several computational approaches offer ways to ameliorate the worst flaws of folksonomies, some user-generated collections have implemented a human judgment-centered alternative to produce structured folksonomies. An analysis of three such implementations reveals design differences within the space. This approach, termed "curated folksonomy," presents a new object of study for knowledge organization and represents one answer to the tension between scalability and the value of human judgment.
  15. Kim, H.L.; Scerri, S.; Breslin, J.G.; Decker, S.; Kim, H.G.: ¬The state of the art in tag ontologies : a semantic model for tagging and folksonomies (2008) 0.01
    0.01149806 = product of:
      0.030661494 = sum of:
        0.011156735 = weight(_text_:of in 2650) [ClassicSimilarity], result of:
          0.011156735 = score(doc=2650,freq=8.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.17277241 = fieldWeight in 2650, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2650)
        0.0055176322 = product of:
          0.0110352645 = sum of:
            0.0110352645 = weight(_text_:on in 2650) [ClassicSimilarity], result of:
              0.0110352645 = score(doc=2650,freq=2.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.121501654 = fieldWeight in 2650, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2650)
          0.5 = coord(1/2)
        0.013987125 = product of:
          0.02797425 = sum of:
            0.02797425 = weight(_text_:22 in 2650) [ClassicSimilarity], result of:
              0.02797425 = score(doc=2650,freq=2.0), product of:
                0.1446067 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.041294612 = queryNorm
                0.19345059 = fieldWeight in 2650, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2650)
          0.5 = coord(1/2)
      0.375 = coord(3/8)
    
    Abstract
    There is a growing interest into how we represent and share tagging data in collaborative tagging systems. Conventional tags, meaning freely created tags that are not associated with a structured ontology, are not naturally suited for collaborative processes, due to linguistic and grammatical variations, as well as human typing errors. Additionally, tags reflect personal views of the world by individual users, and are not normalised for synonymy, morphology or any other mapping. Our view is that the conventional approach provides very limited semantic value for collaboration. Moreover, in cases where there is some semantic value, automatically sharing semantics via computer manipulations is extremely problematic. This paper explores these problems by discussing approaches for collaborative tagging activities at a semantic level, and presenting conceptual models for collaborative tagging activities and folksonomies. We present criteria for the comparison of existing tag ontologies and discuss their strengths and weaknesses in relation to these criteria.
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
  16. Goodrum, A.; Hibbard, C.E.; Fels, C.D.; Woodcock, C.K.: ¬The creation of keysigns : American sign language metadata (2008) 0.01
    0.010361289 = product of:
      0.041445155 = sum of:
        0.025048172 = weight(_text_:retrieval in 2272) [ClassicSimilarity], result of:
          0.025048172 = score(doc=2272,freq=2.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.20052543 = fieldWeight in 2272, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=2272)
        0.016396983 = weight(_text_:of in 2272) [ClassicSimilarity], result of:
          0.016396983 = score(doc=2272,freq=12.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.25392252 = fieldWeight in 2272, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=2272)
      0.25 = coord(2/8)
    
    Content
    This paper reports preliminary results from a pilot test of the creation of a folksonomic gestural taxonomy for sign language indexing and retrieval. Skilled sign language interpreters and deaf participants were asked to create sign language metadata or 'Keysigns' that they would assign to classify topics presented by three deaf scientists during a day-log workshop. Although their Keysigns demonstrate a high degree of content conformity, the physical signing itself lacked consistency. Comments made by participants revealed that signed metadata was not a commonly understood concept and that the exercise was cognitively challenging. The paper concludes with suggestions for ways to make the creation of folksonomic Keysign metadata easier from cognitive and physical perspectives.
    Source
    Culture and identity in knowledge organization: Proceedings of the Tenth International ISKO Conference 5-8 August 2008, Montreal, Canada. Ed. by Clément Arsenault and Joseph T. Tennis
  17. Moreiro-González, J.-A.; Bolaños-Mejías, C.: Folksonomy indexing from the assignment of free tags to setup subject : a search analysis into the domain of legal history (2018) 0.01
    0.008908112 = product of:
      0.035632446 = sum of:
        0.020873476 = weight(_text_:retrieval in 4640) [ClassicSimilarity], result of:
          0.020873476 = score(doc=4640,freq=2.0), product of:
            0.124912694 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.041294612 = queryNorm
            0.16710453 = fieldWeight in 4640, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4640)
        0.014758972 = weight(_text_:of in 4640) [ClassicSimilarity], result of:
          0.014758972 = score(doc=4640,freq=14.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.22855641 = fieldWeight in 4640, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4640)
      0.25 = coord(2/8)
    
    Abstract
    The behaviour and lexical quality of the folksonomies is examined by comparing two online social networks: Library-Thing (for books) and Flickr (for photos). We presented a case study that combines quantitative and qualitative elements, singularized by the lexical and functional framework. Our query was made by "Legal History" and by the synonyms "Law History" and "History of Law." We then examined the relevance, consistency and precision of the tags attached to the retrieved documents, in addition to their lexical composition. We identified the difficulties caused by free tagging and some of the folksonomy solutions that have been found to solve them. The results are presented in comparative tables, giving special attention to related tags within each retrieved document. Although the number of ambiguous or inconsistent tags is not very large, these do nevertheless represent the most obvious problem to search and retrieval in folksonomies. Relevance is high when the terms are assigned by especially competent taggers. Even with less expert taggers, ambiguity is often successfully corrected by contextualizing the concepts within related tags. A propinquity to associative and taxonomic lexical semantic knowledge is reached via contextual relationships.
  18. Huvila, I.: Aesthetic judgments in folksonomies as criteria for organising knowledge 0.01
    0.008588374 = product of:
      0.034353495 = sum of:
        0.02342914 = weight(_text_:of in 3540) [ClassicSimilarity], result of:
          0.02342914 = score(doc=3540,freq=18.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.36282203 = fieldWeight in 3540, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3540)
        0.010924355 = product of:
          0.02184871 = sum of:
            0.02184871 = weight(_text_:on in 3540) [ClassicSimilarity], result of:
              0.02184871 = score(doc=3540,freq=4.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.24056101 = fieldWeight in 3540, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3540)
          0.5 = coord(1/2)
      0.25 = coord(2/8)
    
    Abstract
    Principles, justifications and their subjective nature are central issues of knowledge organisation research and practice. This study discusses folksonomies a source of aesthetic judgments and whether those judgments can provide justification for knowledge organisation. Using Flickr photosharing service as an example, the folksonomies are examined as potential source of collective judgments of a larger group of people with a special focus on everyday life aesthetics. The study is based on a visual analysis of clusters of photographs formed by Flickr with a set of common aesthetic adjectives.
    Source
    Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO conference, Rome, 23-26 February 2010, ed. Claudio Gnoli, Indeks, Frankfurt M
  19. Watters, C.; Nizam, N.: Knowledge organization on the Web : the emergent role of social classification (2012) 0.01
    0.008253391 = product of:
      0.033013564 = sum of:
        0.022089208 = weight(_text_:of in 828) [ClassicSimilarity], result of:
          0.022089208 = score(doc=828,freq=16.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.34207192 = fieldWeight in 828, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0546875 = fieldNorm(doc=828)
        0.010924355 = product of:
          0.02184871 = sum of:
            0.02184871 = weight(_text_:on in 828) [ClassicSimilarity], result of:
              0.02184871 = score(doc=828,freq=4.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.24056101 = fieldWeight in 828, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=828)
          0.5 = coord(1/2)
      0.25 = coord(2/8)
    
    Abstract
    There are close to a billion websites on the Internet with approximately 400 million users worldwide [www.internetworldstats.com]. People go to websites for a wide variety of different information tasks, from finding a restaurant to serious research. Many of the difficulties with searching the Web, as it is structured currently, can be attributed to increases to scale. The content of the Web is now so large that we only have a rough estimate of the number of sites and the range of information is extremely diverse, from blogs and photos to research articles and news videos.
    Source
    Categories, contexts and relations in knowledge organization: Proceedings of the Twelfth International ISKO Conference 6-9 August 2012, Mysore, India. Eds.: Neelameghan, A. u. K.S. Raghavan
  20. Cope, J.: Librarianship as intellectual craft : the ethics of classification in the realms of leisure and waged labor (2012) 0.01
    0.008187582 = product of:
      0.032750327 = sum of:
        0.024947217 = weight(_text_:of in 421) [ClassicSimilarity], result of:
          0.024947217 = score(doc=421,freq=40.0), product of:
            0.06457475 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.041294612 = queryNorm
            0.38633084 = fieldWeight in 421, product of:
              6.3245554 = tf(freq=40.0), with freq of:
                40.0 = termFreq=40.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0390625 = fieldNorm(doc=421)
        0.007803111 = product of:
          0.015606222 = sum of:
            0.015606222 = weight(_text_:on in 421) [ClassicSimilarity], result of:
              0.015606222 = score(doc=421,freq=4.0), product of:
                0.090823986 = queryWeight, product of:
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.041294612 = queryNorm
                0.1718293 = fieldWeight in 421, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  2.199415 = idf(docFreq=13325, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=421)
          0.5 = coord(1/2)
      0.25 = coord(2/8)
    
    Abstract
    This paper develops an ethical conception of library labor as an intellectual craft that can serve as an alternative to a deterministic discourse of technological transformation. In this paper, the author proposes a model of librarianship as an intellectual craft that can be used as an "ideal type" in comparison to recent transformations in the practice of librarianship. This paper then examines the rise of participatory classification in the realm of leisure in user-generated classification schemes (e.g., folksonomies) as a way of examining some of the difficult ethical questions that this ideal of intellectual craft poses when applied to contemporary conditions. Marx's concept of surplus value is used to examine how donated labor adds to the general knowledge. This paper concludes by advocating for the general expansion of leisure coupled with the promotion public institutions that support the craft of those who organize information in a broadly defined public interest. In an era of dramatic change, such a framework offers a positive ethical account of librarians and information professionals' labor that is not wholly dependent on a discourse of market exchange.
    Content
    Beitrag aus einem Themenheft zu den Proceedings of the 2nd Milwaukee Conference on Ethics in Information Organization, June 15-16, 2012, School of Information Studies, University of Wisconsin-Milwaukee. Hope A. Olson, Conference Chair. Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_39_2012_5_g.pdf.

Years

Languages

  • e 39
  • d 4
  • el 1
  • More… Less…

Types

  • a 39
  • el 6
  • m 1
  • More… Less…

Classifications