Search (49 results, page 1 of 3)

  • × theme_ss:"Social tagging"
  1. Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008) 0.04 
    0.044620022 = product of:
  0.13386007 = sum of:
    0.073385715 = weight(_text_:germany in 2648) [ClassicSimilarity], result of:
      0.073385715 = score(doc=2648,freq=2.0), product of:
        0.22275731 = queryWeight, product of:
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.037353165 = queryNorm
        0.32944247 = fieldWeight in 2648, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2648)
    0.047822252 = weight(_text_:processing in 2648) [ClassicSimilarity], result of:
      0.047822252 = score(doc=2648,freq=4.0), product of:
        0.15121111 = queryWeight, product of:
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.037353165 = queryNorm
        0.3162615 = fieldWeight in 2648, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2648)
    0.012652095 = product of:
      0.02530419 = sum of:
        0.02530419 = weight(_text_:22 in 2648) [ClassicSimilarity], result of:
          0.02530419 = score(doc=2648,freq=2.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = queryNorm
            0.19345059 = fieldWeight in 2648, 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=2648)
      0.5 = coord(1/2)
  0.33333334 = coord(3/9)
    Abstract
    The growing predominance of social semantics in the form of tagging presents the metadata community with both opportunities and challenges as for leveraging this new form of information content representation and for retrieval. One key challenge is the absence of contextual information associated with these tags. This paper presents an experiment working with Flickr tags as an example of utilizing social semantics sources for enriching subject metadata. The procedure included four steps: 1) Collecting a sample of Flickr tags, 2) Calculating cooccurrences between tags through mutual information, 3) Tracing contextual information of tag pairs via Google search results, 4) Applying natural language processing and machine learning techniques to extract semantic relations between tags. The experiment helped us to build a context sentence collection from the Google search results, which was then processed by natural language processing and machine learning algorithms. This new approach achieved a reasonably good rate of accuracy in assigning semantic relations to tag pairs. This paper also explores the implications of this approach for using social semantics to enrich subject metadata.
    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
  2. 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) 0.04 
    0.035556585 = product of:
  0.106669754 = sum of:
    0.073385715 = weight(_text_:germany in 2650) [ClassicSimilarity], result of:
      0.073385715 = score(doc=2650,freq=2.0), product of:
        0.22275731 = queryWeight, product of:
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.037353165 = queryNorm
        0.32944247 = fieldWeight in 2650, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2650)
    0.02063194 = weight(_text_:data in 2650) [ClassicSimilarity], result of:
      0.02063194 = score(doc=2650,freq=2.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.17468026 = fieldWeight in 2650, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2650)
    0.012652095 = product of:
      0.02530419 = sum of:
        0.02530419 = weight(_text_:22 in 2650) [ClassicSimilarity], result of:
          0.02530419 = score(doc=2650,freq=2.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = 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)
  0.33333334 = coord(3/9)
    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
  3. DeZelar-Tiedman, V.: Doing the LibraryThing(TM) in an academic library catalog (2008) 0.03 
    0.028445266 = product of:
  0.0853358 = sum of:
    0.058708575 = weight(_text_:germany in 2666) [ClassicSimilarity], result of:
      0.058708575 = score(doc=2666,freq=2.0), product of:
        0.22275731 = queryWeight, product of:
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.037353165 = queryNorm
        0.26355398 = fieldWeight in 2666, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.03125 = fieldNorm(doc=2666)
    0.01650555 = weight(_text_:data in 2666) [ClassicSimilarity], result of:
      0.01650555 = score(doc=2666,freq=2.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.1397442 = fieldWeight in 2666, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.03125 = fieldNorm(doc=2666)
    0.010121676 = product of:
      0.020243352 = sum of:
        0.020243352 = weight(_text_:22 in 2666) [ClassicSimilarity], result of:
          0.020243352 = score(doc=2666,freq=2.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = queryNorm
            0.15476047 = fieldWeight in 2666, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=2666)
      0.5 = coord(1/2)
  0.33333334 = coord(3/9)
    Abstract
    Many libraries and other cultural institutions are incorporating Web 2.0 features and enhanced metadata into their catalogs (Trant 2006). These value-added elements include those typically found in commercial and social networking sites, such as book jacket images, reviews, and usergenerated tags. One such site that libraries are exploring as a model is LibraryThing (www.librarything.com) LibraryThing is a social networking site that allows users to "catalog" their own book collections. Members can add tags and reviews to records for books, as well as engage in online discussions. In addition to its service for individuals, LibraryThing offers a feebased service to libraries, where institutions can add LibraryThing tags, recommendations, and other features to their online catalog records. This poster will present data analyzing the quality and quantity of the metadata that a large academic library would expect to gain if utilizing such a service, focusing on the overlap between titles found in the library's catalog and in LibraryThing's database, and on a comparison between the controlled subject headings in the former and the user-generated tags in the latter. During February through April 2008, a random sample of 383 titles from the University of Minnesota Libraries catalog was searched in LibraryThing. Eighty works, or 21 percent of the sample, had corresponding records available in LibraryThing. Golder and Huberman (2006) outline the advantages and disadvantages of using controlled vocabulary for subject access to information resources versus the growing trend of tags supplied by users or by content creators. Using the 80 matched records from the sample, comparisons were made between the user-supplied tags in LibraryThing (social tags) and the subject headings in the library catalog records (controlled vocabulary system). In the library records, terms from all 6XX MARC fields were used. To make a more meaningful comparison, controlled subject terms were broken down into facets according to their headings and subheadings, and each unique facet counted separately. A total of 227 subject terms were applied to the 80 catalog records, an average of 2.84 per record. In LibraryThing, 698 tags were applied to the same 80 titles, an average of 8.73 per title. The poster will further explore the relationships between the terms applied in each source, and identify where overlaps and complementary levels of access occur.
    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
  4. Choi, N.; Joo, S.: Booklovers' world : an examination of factors affecting continued usage of social cataloging sites (2016) 0.02 
    0.023429101 = product of:
  0.10543095 = sum of:
    0.084799014 = weight(_text_:cataloging in 3224) [ClassicSimilarity], result of:
      0.084799014 = score(doc=3224,freq=14.0), product of:
        0.14721331 = queryWeight, product of:
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.037353165 = queryNorm
        0.57602817 = fieldWeight in 3224, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3224)
    0.02063194 = weight(_text_:data in 3224) [ClassicSimilarity], result of:
      0.02063194 = score(doc=3224,freq=2.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.17468026 = fieldWeight in 3224, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3224)
  0.22222222 = coord(2/9)
    Abstract
    Little is known about what factors influence users' continued use of social cataloging sites. This study therefore examines the impacts of key factors from theories of information systems (IS) success and sense of community (SOC) on users' continuance intention in the social cataloging context. Data collected from an online survey of 323 social cataloging users provide empirical support for the research model. The findings indicate that both information quality (IQ) and system quality (SQ) are significant predictors of satisfaction and SOC, which in turn lead to users' intentions to continue using these sites. In addition, SOC was found to affect continuance intention not only directly, but also indirectly through satisfaction. Theoretically, this study draws attention to a largely unexplored but essential area of research in the social cataloging literature and provides a fundamental basis to understand the determinants of continued social cataloging usage. From a managerial perspective, the findings suggest that social cataloging service providers should constantly focus their efforts on the quality control of their contents and system, and the enhancement of SOC among their users.
  5. Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008) 0.02 
    0.020284107 = product of:
  0.09127848 = sum of:
    0.073385715 = weight(_text_:germany in 2652) [ClassicSimilarity], result of:
      0.073385715 = score(doc=2652,freq=2.0), product of:
        0.22275731 = queryWeight, product of:
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.037353165 = queryNorm
        0.32944247 = fieldWeight in 2652, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2652)
    0.017892765 = product of:
      0.03578553 = sum of:
        0.03578553 = weight(_text_:22 in 2652) [ClassicSimilarity], result of:
          0.03578553 = score(doc=2652,freq=4.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = 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)
  0.22222222 = coord(2/9)
    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
  6. Wang, J.; Clements, M.; Yang, J.; Vries, A.P. de; Reinders, M.J.T.: Personalization of tagging systems (2010) 0.02 
    0.016798241 = product of:
  0.075592086 = sum of:
    0.03501356 = weight(_text_:data in 4229) [ClassicSimilarity], result of:
      0.03501356 = score(doc=4229,freq=4.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.29644224 = fieldWeight in 4229, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.046875 = fieldNorm(doc=4229)
    0.040578526 = weight(_text_:processing in 4229) [ClassicSimilarity], result of:
      0.040578526 = score(doc=4229,freq=2.0), product of:
        0.15121111 = queryWeight, product of:
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.037353165 = queryNorm
        0.26835677 = fieldWeight in 4229, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.046875 = fieldNorm(doc=4229)
  0.22222222 = coord(2/9)
    Abstract
    Social media systems have encouraged end user participation in the Internet, for the purpose of storing and distributing Internet content, sharing opinions and maintaining relationships. Collaborative tagging allows users to annotate the resulting user-generated content, and enables effective retrieval of otherwise uncategorised data. However, compared to professional web content production, collaborative tagging systems face the challenge that end-users assign tags in an uncontrolled manner, resulting in unsystematic and inconsistent metadata. This paper introduces a framework for the personalization of social media systems. We pinpoint three tasks that would benefit from personalization: collaborative tagging, collaborative browsing and collaborative search. We propose a ranking model for each task that integrates the individual user's tagging history in the recommendation of tags and content, to align its suggestions to the individual user preferences. We demonstrate on two real data sets that for all three tasks, the personalized ranking should take into account both the user's own preference and the opinion of others.
    Source
    Information processing and management. 46(2010) no.1, S.58-70
  7. Bentley, C.M.; Labelle, P.R.: ¬A comparison of social tagging designs and user participation (2008) 0.02 
    0.015295612 = product of:
  0.06883025 = sum of:
    0.058708575 = weight(_text_:germany in 2657) [ClassicSimilarity], result of:
      0.058708575 = score(doc=2657,freq=2.0), product of:
        0.22275731 = queryWeight, product of:
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.037353165 = queryNorm
        0.26355398 = fieldWeight in 2657, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          5.963546 = idf(docFreq=308, maxDocs=44218)
          0.03125 = fieldNorm(doc=2657)
    0.010121676 = product of:
      0.020243352 = sum of:
        0.020243352 = weight(_text_:22 in 2657) [ClassicSimilarity], result of:
          0.020243352 = score(doc=2657,freq=2.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = queryNorm
            0.15476047 = fieldWeight in 2657, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03125 = fieldNorm(doc=2657)
      0.5 = coord(1/2)
  0.22222222 = coord(2/9)
    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. Lee, D.H.; Schleyer, T.: Social tagging is no substitute for controlled indexing : a comparison of Medical Subject Headings and CiteULike tags assigned to 231,388 papers (2012) 0.02 
    0.015212042 = product of:
  0.06845419 = sum of:
    0.02063194 = weight(_text_:data in 383) [ClassicSimilarity], result of:
      0.02063194 = score(doc=383,freq=2.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.17468026 = fieldWeight in 383, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.0390625 = fieldNorm(doc=383)
    0.047822252 = weight(_text_:processing in 383) [ClassicSimilarity], result of:
      0.047822252 = score(doc=383,freq=4.0), product of:
        0.15121111 = queryWeight, product of:
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.037353165 = queryNorm
        0.3162615 = fieldWeight in 383, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.0390625 = fieldNorm(doc=383)
  0.22222222 = coord(2/9)
    Abstract
    Social tagging and controlled indexing both facilitate access to information resources. Given the increasing popularity of social tagging and the limitations of controlled indexing (primarily cost and scalability), it is reasonable to investigate to what degree social tagging could substitute for controlled indexing. In this study, we compared CiteULike tags to Medical Subject Headings (MeSH) terms for 231,388 citations indexed in MEDLINE. In addition to descriptive analyses of the data sets, we present a paper-by-paper analysis of tags and MeSH terms: the number of common annotations, Jaccard similarity, and coverage ratio. In the analysis, we apply three increasingly progressive levels of text processing, ranging from normalization to stemming, to reduce the impact of lexical differences. Annotations of our corpus consisted of over 76,968 distinct tags and 21,129 distinct MeSH terms. The top 20 tags/MeSH terms showed little direct overlap. On a paper-by-paper basis, the number of common annotations ranged from 0.29 to 0.5 and the Jaccard similarity from 2.12% to 3.3% using increased levels of text processing. At most, 77,834 citations (33.6%) shared at least one annotation. Our results show that CiteULike tags and MeSH terms are quite distinct lexically, reflecting different viewpoints/processes between social tagging and controlled indexing.
  9. Strader, C.R.: Author-assigned keywords versus Library of Congress Subject Headings : implications for the cataloging of electronic theses and dissertations (2009) 0.01 
    0.011920829 = product of:
  0.05364373 = sum of:
    0.038461216 = weight(_text_:cataloging in 3602) [ClassicSimilarity], result of:
      0.038461216 = score(doc=3602,freq=2.0), product of:
        0.14721331 = queryWeight, product of:
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.037353165 = queryNorm
        0.26126182 = fieldWeight in 3602, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.046875 = fieldNorm(doc=3602)
    0.015182514 = product of:
      0.030365027 = sum of:
        0.030365027 = weight(_text_:22 in 3602) [ClassicSimilarity], result of:
          0.030365027 = score(doc=3602,freq=2.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = queryNorm
            0.23214069 = fieldWeight in 3602, 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=3602)
      0.5 = coord(1/2)
  0.22222222 = coord(2/9)
    Date
    10. 9.2000 17:38:22
  10. Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009) 0.01 
    0.011154683 = product of:
  0.050196074 = sum of:
    0.03501356 = weight(_text_:data in 3601) [ClassicSimilarity], result of:
      0.03501356 = score(doc=3601,freq=4.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.29644224 = fieldWeight in 3601, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.046875 = fieldNorm(doc=3601)
    0.015182514 = product of:
      0.030365027 = sum of:
        0.030365027 = weight(_text_:22 in 3601) [ClassicSimilarity], result of:
          0.030365027 = score(doc=3601,freq=2.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = queryNorm
            0.23214069 = fieldWeight in 3601, 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=3601)
      0.5 = coord(1/2)
  0.22222222 = coord(2/9)
    Abstract
    Some members of the library community, including the Library of Congress Working Group on the Future of Bibliographic Control, have suggested that libraries should open up their catalogs to allow users to add descriptive tags to the bibliographic data in catalog records. The web site LibraryThing currently permits its members to add such user tags to its records for books and therefore provides a useful resource to contrast with library bibliographic records. A comparison between the LibraryThing tags for a group of books and the library-supplied subject headings for the same books shows that users and catalogers approach these descriptors very differently. Because of these differences, user tags can enhance subject access to library materials, but they cannot entirely replace controlled vocabularies such as the Library of Congress subject headings.
    Date
    10. 9.2000 17:38:22
  11. Oudenaar, H.; Bullard, J.: NOT A BOOK : goodreads and the risks of social cataloging with insufficient direction (2024) 0.01 
    0.011148395 = product of:
  0.10033555 = sum of:
    0.10033555 = weight(_text_:cataloging in 1156) [ClassicSimilarity], result of:
      0.10033555 = score(doc=1156,freq=10.0), product of:
        0.14721331 = queryWeight, product of:
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.037353165 = queryNorm
        0.68156576 = fieldWeight in 1156, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1156)
  0.11111111 = coord(1/9)
    Abstract
    Social cataloging websites, such as Goodreads, LibraryThing, and StoryGraph are widely popular with individuals who want to track their reading and read reviews. Goodreads is one of the most popular sites with 90 million registered users as of 2019. This paper studies a Goodreads cataloging rule, NOT A BOOK (NAB), through which users designate items as invalid to the site's scope while preserving some of their metadata. By reviewing NAB, we identify thirteen types of invalid items. We go on to discuss how these item types unevenly reflect the rule itself and the emergence of a "non-book" sense through social cataloging.
    Source
    Cataloging and classification quarterly. 61(2023) no.2, p.203-227
  12. Danowski, P.: Authority files and Web 2.0 : Wikipedia and the PND. An Example (2007) 0.01 
    0.007396452 = product of:
  0.033284035 = sum of:
    0.02063194 = weight(_text_:data in 1291) [ClassicSimilarity], result of:
      0.02063194 = score(doc=1291,freq=2.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.17468026 = fieldWeight in 1291, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1291)
    0.012652095 = product of:
      0.02530419 = sum of:
        0.02530419 = weight(_text_:22 in 1291) [ClassicSimilarity], result of:
          0.02530419 = score(doc=1291,freq=2.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = queryNorm
            0.19345059 = fieldWeight in 1291, 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=1291)
      0.5 = coord(1/2)
  0.22222222 = coord(2/9)
    Abstract
    More and more users index everything on their own in the web 2.0. There are services for links, videos, pictures, books, encyclopaedic articles and scientific articles. All these services are library independent. But must that really be? Can't libraries help with their experience and tools to make user indexing better? On the experience of a project from German language Wikipedia together with the German person authority files (Personen Namen Datei - PND) located at German National Library (Deutsche Nationalbibliothek) I would like to show what is possible. How users can and will use the authority files, if we let them. We will take a look how the project worked and what we can learn for future projects. Conclusions - Authority files can have a role in the web 2.0 - there must be an open interface/ service for retrieval - everything that is indexed on the net with authority files can be easy integrated in a federated search - O'Reilly: You have to found ways that your data get more important that more it will be used
    Content
    Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
  13. Qin, C.; Liu, Y.; Mou, J.; Chen, J.: User adoption of a hybrid social tagging approach in an online knowledge community (2019) 0.01 
    0.007396452 = product of:
  0.033284035 = sum of:
    0.02063194 = weight(_text_:data in 5492) [ClassicSimilarity], result of:
      0.02063194 = score(doc=5492,freq=2.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.17468026 = fieldWeight in 5492, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5492)
    0.012652095 = product of:
      0.02530419 = sum of:
        0.02530419 = weight(_text_:22 in 5492) [ClassicSimilarity], result of:
          0.02530419 = score(doc=5492,freq=2.0), product of:
            0.13080442 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.037353165 = queryNorm
            0.19345059 = fieldWeight in 5492, 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=5492)
      0.5 = coord(1/2)
  0.22222222 = coord(2/9)
    Abstract
    Purpose Online knowledge communities make great contributions to global knowledge sharing and innovation. Resource tagging approaches have been widely adopted in such communities to describe, annotate and organize knowledge resources mainly through users' participation. However, it is unclear what causes the adoption of a particular resource tagging approach. The purpose of this paper is to identify factors that drive users to use a hybrid social tagging approach. Design/methodology/approach Technology acceptance model and social cognitive theory are adopted to support an integrated model proposed in this paper. Zhihu, one of the most popular online knowledge communities in China, is taken as the survey context. A survey was conducted with a questionnaire and collected data were analyzed through structural equation model. Findings A new hybrid social resource tagging approach was refined and described. The empirical results revealed that self-efficacy, perceived usefulness (PU) and perceived ease of use exert positive effect on users' attitude. Moreover, social influence, PU and attitude impact significantly on users' intention to use a hybrid social resource tagging approach. Originality/value Theoretically, this study enriches the type of resource tagging approaches and recognizes factors influencing user adoption to use it. Regarding the practical parts, the results provide online information system providers and designers with referential strategies to improve the performance of the current tagging approaches and promote them.
    Date
    20. 1.2015 18:30:22
  14. Ding, Y.; Jacob, E.K.; Fried, M.; Toma, I.; Yan, E.; Foo, S.; Milojevicacute, S.: Upper tag ontology for integrating social tagging data (2010) 0.01 
    0.0072782645 = product of:
  0.06550438 = sum of:
    0.06550438 = weight(_text_:data in 3421) [ClassicSimilarity], result of:
      0.06550438 = score(doc=3421,freq=14.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.55459267 = fieldWeight in 3421, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.046875 = fieldNorm(doc=3421)
  0.11111111 = coord(1/9)
    Abstract
    Data integration and mediation have become central concerns of information technology over the past few decades. With the advent of the Web and the rapid increases in the amount of data and the number of Web documents and users, researchers have focused on enhancing the interoperability of data through the development of metadata schemes. Other researchers have looked to the wealth of metadata generated by bookmarking sites on the Social Web. While several existing ontologies have capitalized on the semantics of metadata created by tagging activities, the Upper Tag Ontology (UTO) emphasizes the structure of tagging activities to facilitate modeling of tagging data and the integration of data from different bookmarking sites as well as the alignment of tagging ontologies. UTO is described and its utility in modeling, harvesting, integrating, searching, and analyzing data is demonstrated with metadata harvested from three major social tagging systems (Delicious, Flickr, and YouTube).
  15. Social tagging in a linked data environment. Edited by Diane Rasmussen Pennington and Louise F. Spiteri. London, UK: Facet Publishing, 2018. 240 pp. £74.95 (paperback). (ISBN 9781783303380) (2019) 0.01 
    0.006483993 = product of:
  0.058355935 = sum of:
    0.058355935 = weight(_text_:data in 101) [ClassicSimilarity], result of:
      0.058355935 = score(doc=101,freq=16.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.49407038 = fieldWeight in 101, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.0390625 = fieldNorm(doc=101)
  0.11111111 = coord(1/9)
    Abstract
    Social tagging, hashtags, and geotags are used across a variety of platforms (Twitter, Facebook, Tumblr, WordPress, Instagram) in different countries and cultures. This book, representing researchers and practitioners across different information professions, explores how social tags can link content across a variety of environments. Most studies of social tagging have tended to focus on applications like library catalogs, blogs, and social bookmarking sites. This book, in setting out a theoretical background and the use of a series of case studies, explores the role of hashtags as a form of linked data?without the complex implementation of RDF and other Semantic Web technologies.
    LCSH
    Linked data
    Linked data
    RSWK
    Linked Data / Social Tagging
    Subject
    Linked data
    Linked data
    Linked Data / Social Tagging
  16. Huang, C.; Fu, T.; Chen, H.: Text-based video content classification for online video-sharing sites (2010) 0.01 
    0.0051260465 = product of:
  0.04613442 = sum of:
    0.04613442 = weight(_text_:data in 3452) [ClassicSimilarity], result of:
      0.04613442 = score(doc=3452,freq=10.0), product of:
        0.118112594 = queryWeight, product of:
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.037353165 = queryNorm
        0.39059696 = fieldWeight in 3452, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.1620505 = idf(docFreq=5088, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3452)
  0.11111111 = coord(1/9)
    Abstract
    With the emergence of Web 2.0, sharing personal content, communicating ideas, and interacting with other online users in Web 2.0 communities have become daily routines for online users. User-generated data from Web 2.0 sites provide rich personal information (e.g., personal preferences and interests) and can be utilized to obtain insight about cyber communities and their social networks. Many studies have focused on leveraging user-generated information to analyze blogs and forums, but few studies have applied this approach to video-sharing Web sites. In this study, we propose a text-based framework for video content classification of online-video sharing Web sites. Different types of user-generated data (e.g., titles, descriptions, and comments) were used as proxies for online videos, and three types of text features (lexical, syntactic, and content-specific features) were extracted. Three feature-based classification techniques (C4.5, Naïve Bayes, and Support Vector Machine) were used to classify videos. To evaluate the proposed framework, user-generated data from candidate videos, which were identified by searching user-given keywords on YouTube, were first collected. Then, a subset of the collected data was randomly selected and manually tagged by users as our experiment data. The experimental results showed that the proposed approach was able to classify online videos based on users' interests with accuracy rates up to 87.2%, and all three types of text features contributed to discriminating videos. Support Vector Machine outperformed C4.5 and Naïve Bayes techniques in our experiments. In addition, our case study further demonstrated that accurate video-classification results are very useful for identifying implicit cyber communities on video-sharing Web sites.
  17. Abreu, A.: "Every bit informs another" : framework analysis for descriptive practice and linked information (2008) 0.00 
    0.0049857134 = product of:
  0.04487142 = sum of:
    0.04487142 = weight(_text_:cataloging in 2249) [ClassicSimilarity], result of:
      0.04487142 = score(doc=2249,freq=2.0), product of:
        0.14721331 = queryWeight, product of:
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.037353165 = queryNorm
        0.30480546 = fieldWeight in 2249, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2249)
  0.11111111 = coord(1/9)
    Content
    The independent traditions of description in bibliographic and archival environments are rich and continually evolving. Recognizing this, how can Libraries, Archives and Museums seek convergence in describing materials on the web? In order to seek better description for materials and cross-institutional alignment, we can first reconceptualize where description may fit into work practices. I examine subject cataloging and archival practice alongside social tagging as a means of drawing conclusions for possible new paths in integration.
  18. Spiteri, L.F.: Incorporating facets into social tagging applications : an analysis of current trends (2010) 0.00 
    0.0049857134 = product of:
  0.04487142 = sum of:
    0.04487142 = weight(_text_:cataloging in 3561) [ClassicSimilarity], result of:
      0.04487142 = score(doc=3561,freq=2.0), product of:
        0.14721331 = queryWeight, product of:
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.037353165 = queryNorm
        0.30480546 = fieldWeight in 3561, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3561)
  0.11111111 = coord(1/9)
    Source
    Cataloging and classification quarterly. 48(2010) no.1, S.94-109
  19. Bundza, M.: ¬The choice is yours! : researchers assign subject metadata to their own materials in institutional repositories (2014) 0.00 
    0.0049857134 = product of:
  0.04487142 = sum of:
    0.04487142 = weight(_text_:cataloging in 1968) [ClassicSimilarity], result of:
      0.04487142 = score(doc=1968,freq=2.0), product of:
        0.14721331 = queryWeight, product of:
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.037353165 = queryNorm
        0.30480546 = fieldWeight in 1968, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.9411201 = idf(docFreq=2334, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1968)
  0.11111111 = coord(1/9)
    Source
    Cataloging and classification quarterly. 52(2014) no.1, S.110-118
  20. Huang, S.-L.; Lin, S.-C.; Chan, Y.-C.: Investigating effectiveness and user acceptance of semantic social tagging for knowledge sharing (2012) 0.00 
    0.004508725 = product of:
  0.040578526 = sum of:
    0.040578526 = weight(_text_:processing in 2732) [ClassicSimilarity], result of:
      0.040578526 = score(doc=2732,freq=2.0), product of:
        0.15121111 = queryWeight, product of:
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.037353165 = queryNorm
        0.26835677 = fieldWeight in 2732, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.048147 = idf(docFreq=2097, maxDocs=44218)
          0.046875 = fieldNorm(doc=2732)
  0.11111111 = coord(1/9)
    Source
    Information processing and management. 48(2012) no.4, S.599-617

Authors

Years

Languages

  • e 46
  • d 3
  • More… Less…

Types

  • a 44
  • el 4
  • b 2
  • m 2
  • s 1
  • More… Less…

Themes

Subjects

Classifications