Search (56 results, page 1 of 3)

  • × theme_ss:"Social tagging"
  1. Chan, L.M.: Social bookmarking and subject indexing (2011) 0.06
    0.060144827 = product of:
      0.12028965 = sum of:
        0.093952805 = weight(_text_:subject in 1806) [ClassicSimilarity], result of:
          0.093952805 = score(doc=1806,freq=4.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.55884314 = fieldWeight in 1806, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.078125 = fieldNorm(doc=1806)
        0.02633685 = product of:
          0.0526737 = sum of:
            0.0526737 = weight(_text_:classification in 1806) [ClassicSimilarity], result of:
              0.0526737 = score(doc=1806,freq=2.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.35186368 = fieldWeight in 1806, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.078125 = fieldNorm(doc=1806)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Source
    Subject access: preparing for the future. Conference on August 20 - 21, 2009 in Florence, the IFLA Classification and Indexing Section sponsored an IFLA satellite conference entitled "Looking at the Past and Preparing for the Future". Eds.: P. Landry et al
  2. Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009) 0.05
    0.054118656 = product of:
      0.10823731 = sum of:
        0.08913147 = weight(_text_:subject in 3601) [ClassicSimilarity], result of:
          0.08913147 = score(doc=3601,freq=10.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.5301652 = fieldWeight in 3601, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=3601)
        0.019105844 = product of:
          0.03821169 = sum of:
            0.03821169 = weight(_text_:22 in 3601) [ClassicSimilarity], result of:
              0.03821169 = score(doc=3601,freq=2.0), product of:
                0.16460574 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.04700564 = 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)
      0.5 = coord(2/4)
    
    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
  3. Bundza, M.: ¬The choice is yours! : researchers assign subject metadata to their own materials in institutional repositories (2014) 0.05
    0.049491778 = product of:
      0.098983556 = sum of:
        0.08054776 = weight(_text_:subject in 1968) [ClassicSimilarity], result of:
          0.08054776 = score(doc=1968,freq=6.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.4791082 = fieldWeight in 1968, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1968)
        0.018435795 = product of:
          0.03687159 = sum of:
            0.03687159 = weight(_text_:classification in 1968) [ClassicSimilarity], result of:
              0.03687159 = score(doc=1968,freq=2.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.24630459 = fieldWeight in 1968, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1968)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    The Digital Commons platform for institutional repositories provides a three-tiered taxonomy of academic disciplines for each item submitted to the repository. Since faculty and departmental administrators across campuses are encouraged to submit materials to the institutional repository themselves, they must also assign disciplines or subject categories for their own work. The expandable drop-down menu of about 1,000 categories is easy to use, and facilitates the growth of the institutional repository and access to the materials through the Internet.
    Footnote
    Contribution in a special issue "Beyond libraries: Subject metadata in the digital environment and Semantic Web" - Enthält Beiträge der gleichnamigen IFLA Satellite Post-Conference, 17-18 August 2012, Tallinn.
    Source
    Cataloging and classification quarterly. 52(2014) no.1, S.110-118
  4. Strader, C.R.: Author-assigned keywords versus Library of Congress Subject Headings : implications for the cataloging of electronic theses and dissertations (2009) 0.05
    0.049413722 = product of:
      0.098827444 = sum of:
        0.0797216 = weight(_text_:subject in 3602) [ClassicSimilarity], result of:
          0.0797216 = score(doc=3602,freq=8.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.4741941 = fieldWeight in 3602, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=3602)
        0.019105844 = product of:
          0.03821169 = sum of:
            0.03821169 = weight(_text_:22 in 3602) [ClassicSimilarity], result of:
              0.03821169 = score(doc=3602,freq=2.0), product of:
                0.16460574 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.04700564 = 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)
      0.5 = coord(2/4)
    
    Abstract
    This study is an examination of the overlap between author-assigned keywords and cataloger-assigned Library of Congress Subject Headings (LCSH) for a set of electronic theses and dissertations in Ohio State University's online catalog. The project is intended to contribute to the literature on the issue of keywords versus controlled vocabularies in the use of online catalogs and databases. Findings support previous studies' conclusions that both keywords and controlled vocabularies complement one another. Further, even in the presence of bibliographic record enhancements, such as abstracts or summaries, keywords and subject headings provided a significant number of unique terms that could affect the success of keyword searches. Implications for the maintenance of controlled vocabularies such as LCSH also are discussed in light of the patterns of matches and nonmatches found between the keywords and their corresponding subject headings.
    Date
    10. 9.2000 17:38:22
  5. Aagaard, H.: Social indexing at the Stockholm Public Library (2011) 0.05
    0.046385758 = product of:
      0.092771515 = sum of:
        0.06643467 = weight(_text_:subject in 1807) [ClassicSimilarity], result of:
          0.06643467 = score(doc=1807,freq=2.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.39516178 = fieldWeight in 1807, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.078125 = fieldNorm(doc=1807)
        0.02633685 = product of:
          0.0526737 = sum of:
            0.0526737 = weight(_text_:classification in 1807) [ClassicSimilarity], result of:
              0.0526737 = score(doc=1807,freq=2.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.35186368 = fieldWeight in 1807, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.078125 = fieldNorm(doc=1807)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Source
    Subject access: preparing for the future. Conference on August 20 - 21, 2009 in Florence, the IFLA Classification and Indexing Section sponsored an IFLA satellite conference entitled "Looking at the Past and Preparing for the Future". Eds.: P. Landry et al
  6. Matthews, B.; Jones, C.; Puzon, B.; Moon, J.; Tudhope, D.; Golub, K.; Nielsen, M.L.: ¬An evaluation of enhancing social tagging with a knowledge organization system (2010) 0.04
    0.039801545 = product of:
      0.07960309 = sum of:
        0.06643467 = weight(_text_:subject in 4171) [ClassicSimilarity], result of:
          0.06643467 = score(doc=4171,freq=8.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.39516178 = fieldWeight in 4171, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4171)
        0.013168425 = product of:
          0.02633685 = sum of:
            0.02633685 = weight(_text_:classification in 4171) [ClassicSimilarity], result of:
              0.02633685 = score(doc=4171,freq=2.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.17593184 = fieldWeight in 4171, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=4171)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    Purpose - Traditional subject indexing and classification are considered infeasible in many digital collections. This paper seeks to investigate ways of enhancing social tagging via knowledge organization systems, with a view to improving the quality of tags for increased information discovery and retrieval performance. Design/methodology/approach - Enhanced tagging interfaces were developed for exemplar online repositories, and trials were undertaken with author and reader groups to evaluate the effectiveness of tagging augmented with control vocabulary for subject indexing of papers in online repositories. Findings - The results showed that using a knowledge organisation system to augment tagging does appear to increase the effectiveness of non-specialist users (that is, without information science training) in subject indexing. Research limitations/implications - While limited by the size and scope of the trials undertaken, these results do point to the usefulness of a mixed approach in supporting the subject indexing of online resources. Originality/value - The value of this work is as a guide to future developments in the practical support for resource indexing in online repositories.
  7. DeZelar-Tiedman, V.: Doing the LibraryThing(TM) in an academic library catalog (2008) 0.04
    0.0360791 = product of:
      0.0721582 = sum of:
        0.059420973 = weight(_text_:subject in 2666) [ClassicSimilarity], result of:
          0.059420973 = score(doc=2666,freq=10.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.35344344 = fieldWeight in 2666, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.03125 = fieldNorm(doc=2666)
        0.01273723 = product of:
          0.02547446 = sum of:
            0.02547446 = weight(_text_:22 in 2666) [ClassicSimilarity], result of:
              0.02547446 = score(doc=2666,freq=2.0), product of:
                0.16460574 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.04700564 = 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)
      0.5 = coord(2/4)
    
    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
  8. Golub, K.; Lykke, M.; Tudhope, D.: Enhancing social tagging with automated keywords from the Dewey Decimal Classification (2014) 0.03
    0.032799684 = product of:
      0.06559937 = sum of:
        0.046976402 = weight(_text_:subject in 2918) [ClassicSimilarity], result of:
          0.046976402 = score(doc=2918,freq=4.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.27942157 = fieldWeight in 2918, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2918)
        0.018622966 = product of:
          0.037245933 = sum of:
            0.037245933 = weight(_text_:classification in 2918) [ClassicSimilarity], result of:
              0.037245933 = score(doc=2918,freq=4.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.24880521 = fieldWeight in 2918, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2918)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    Purpose - The purpose of this paper is to explore the potential of applying the Dewey Decimal Classification (DDC) as an established knowledge organization system (KOS) for enhancing social tagging, with the ultimate purpose of improving subject indexing and information retrieval. Design/methodology/approach - Over 11.000 Intute metadata records in politics were used. Totally, 28 politics students were each given four tasks, in which a total of 60 resources were tagged in two different configurations, one with uncontrolled social tags only and another with uncontrolled social tags as well as suggestions from a controlled vocabulary. The controlled vocabulary was DDC comprising also mappings from the Library of Congress Subject Headings. Findings - The results demonstrate the importance of controlled vocabulary suggestions for indexing and retrieval: to help produce ideas of which tags to use, to make it easier to find focus for the tagging, to ensure consistency and to increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both as to conceptual relevance to the user and as to appropriateness of the terminology. Originality/value - No research has investigated the enhancement of social tagging with suggestions from the DDC, an established KOS, in a user trial, comparing social tagging only and social tagging enhanced with the suggestions. This paper is a final reflection on all aspects of the study.
  9. Abbas, J.: In the margins : reflections on scribbles (2007) 0.03
    0.032470033 = product of:
      0.064940065 = sum of:
        0.046504267 = weight(_text_:subject in 659) [ClassicSimilarity], result of:
          0.046504267 = score(doc=659,freq=2.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.27661324 = fieldWeight in 659, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0546875 = fieldNorm(doc=659)
        0.018435795 = product of:
          0.03687159 = sum of:
            0.03687159 = weight(_text_:classification in 659) [ClassicSimilarity], result of:
              0.03687159 = score(doc=659,freq=2.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.24630459 = fieldWeight in 659, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=659)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    Marginalia or 'scribbling in the margins' is a means for readers to add a more in-depth level of granularity and subject representation to digital documents such as those present in social sharing environments like Flickr and del.icio.us. Social classification and social sharing sites development of user-defined descriptors or tags is discussed in the context of knowledge organization. With this position paper I present a rationale for the use of the resulting folksonomies and tag clouds being developed in these social sharing communities as a rich source of information about our users and their natural organization processes. The knowledge organization community needs to critically examine our understandings of these emerging classificatory schema and determine how best to adapt, augment, revitalize existing knowledge organization structures.
  10. Chen, M.; Liu, X.; Qin, J.: Semantic relation extraction from socially-generated tags : a methodology for metadata generation (2008) 0.03
    0.03144897 = product of:
      0.06289794 = sum of:
        0.046976402 = weight(_text_:subject in 2648) [ClassicSimilarity], result of:
          0.046976402 = score(doc=2648,freq=4.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.27942157 = fieldWeight in 2648, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2648)
        0.015921539 = product of:
          0.031843077 = sum of:
            0.031843077 = weight(_text_:22 in 2648) [ClassicSimilarity], result of:
              0.031843077 = score(doc=2648,freq=2.0), product of:
                0.16460574 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.04700564 = 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)
      0.5 = coord(2/4)
    
    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
  11. Aparecida Moura, M.; Assis, J.: Social networks, indexing languages and organization of knowledge : a semiotic approach 0.03
    0.027831456 = product of:
      0.05566291 = sum of:
        0.0398608 = weight(_text_:subject in 3544) [ClassicSimilarity], result of:
          0.0398608 = score(doc=3544,freq=2.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.23709705 = fieldWeight in 3544, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=3544)
        0.015802111 = product of:
          0.031604223 = sum of:
            0.031604223 = weight(_text_:classification in 3544) [ClassicSimilarity], result of:
              0.031604223 = score(doc=3544,freq=2.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.21111822 = fieldWeight in 3544, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3544)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    This study will present a theoretical discussion about the semiotics categories and its application in the information organization. An experiment about the performance of the Gemet and Eurovoc thesauri with the subject "sustainable development" comparing with the folksonomies and distributed classification systems available on the online repositories of individual or collective information is presented. The new configuration of warrant (literary, structural and of usage) in the process of constructing indexing languages in digital environments will also be discussed. It suggested in the methodological terms that the new theoretical and informational mediations have to be incorporated in the construction process of indexing languages.
  12. Munk, T.B.; Moerk, K.: Folksonomies, tagging communities, and tagging strategies : an empirical study (2007) 0.02
    0.023192879 = product of:
      0.046385758 = sum of:
        0.033217333 = weight(_text_:subject in 1091) [ClassicSimilarity], result of:
          0.033217333 = score(doc=1091,freq=2.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.19758089 = fieldWeight in 1091, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1091)
        0.013168425 = product of:
          0.02633685 = sum of:
            0.02633685 = weight(_text_:classification in 1091) [ClassicSimilarity], result of:
              0.02633685 = score(doc=1091,freq=2.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.17593184 = fieldWeight in 1091, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1091)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    The subject of this article is folksonomies on the Internet. One of the largest folksonomies on the Internet in terms of number of users and tagged websites is the computer program del.icio.us, where more than 100,000 people have tagged the websites that they and others find using their own keywords. How this is done in practice and the patterns to be found are the focus of this article. The empirical basis is the collection of 76,601 different keywords with a total frequency of 178,215 from 500 randomly chosen taggers on del.icio.us at the end of 2005. The keywords collected were then analyzed quantitatively statistically by uncovering their frequency and percentage distribution and through a statistical correspondence analysis in order to uncover possible patterns in the users' tags. Subsequently, a qualitative textual analysis of the tags was made in order to find out by analysis which tagging strategies are represented in the data material. This led to four conclusions. 1) the distribution of keywords follows classic power law; 2) distinct tagging communities are identifiable; 3) the most frequently used tags are situated on a general-specific axis; and 4) nine distinct tagging strategies are observed. These four conclusions are put into perspective collectively in respect of a number of more general and theoretical considerations concerning folksonomies and the classification systems of the future.
  13. Lee, Y.Y.; Yang, S.Q.: Folksonomies as subject access : a survey of tagging in library online catalogs and discovery layers (2012) 0.02
    0.0199304 = product of:
      0.0797216 = sum of:
        0.0797216 = weight(_text_:subject in 309) [ClassicSimilarity], result of:
          0.0797216 = score(doc=309,freq=8.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.4741941 = fieldWeight in 309, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=309)
      0.25 = coord(1/4)
    
    Abstract
    This paper describes a survey on how system vendors and libraries handled tagging in OPACs and discovery layers. Tags are user added subject metadata, also called folksonomies. This survey also investigated user behavior when they face the possibility to tag. The findings indicate that legacy/classic systems have no tagging capability. About 47% of the discovery tools provide tagging function. About 49% of the libraries that have a system with tagging capability have turned the tagging function on in their OPACs and discovery tools. Only 40% of the libraries that turned tagging on actually utilized user added subject metadata as access point to collections. Academic library users are less active in tagging than public library users.
    Source
    Beyond libraries - subject metadata in the digital environment and semantic web. IFLA Satellite Post-Conference, 17-18 August 2012, Tallinn
  14. Wolfram, D.; Olson, H.A.; Bloom, R.: Measuring consistency for multiple taggers using vector space modeling (2009) 0.02
    0.017260233 = product of:
      0.06904093 = sum of:
        0.06904093 = weight(_text_:subject in 3113) [ClassicSimilarity], result of:
          0.06904093 = score(doc=3113,freq=6.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.41066417 = fieldWeight in 3113, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=3113)
      0.25 = coord(1/4)
    
    Abstract
    A longstanding area of study in indexing is the identification of factors affecting vocabulary usage and consistency. This topic has seen a recent resurgence with a focus on social tagging. Tagging data for scholarly articles made available by the social bookmarking Website CiteULike (www.citeulike.org) were used to test the use of inter-indexer/tagger consistency density values, based on a method developed by the authors by comparing calculations for highly tagged documents representing three subject areas (Science, Social Science, Social Software). The analysis revealed that the developed method is viable for a large dataset. The findings also indicated that there were no significant differences in tagging consistency among the three topic areas, demonstrating that vocabulary usage in a relatively new subject area like social software is no more inconsistent than the more established subject areas investigated. The implications of the method used and the findings are discussed.
  15. Yi, K.: ¬A semantic similarity approach to predicting Library of Congress subject headings for social tags (2010) 0.02
    0.016608667 = product of:
      0.06643467 = sum of:
        0.06643467 = weight(_text_:subject in 3707) [ClassicSimilarity], result of:
          0.06643467 = score(doc=3707,freq=8.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.39516178 = fieldWeight in 3707, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3707)
      0.25 = coord(1/4)
    
    Abstract
    Social tagging or collaborative tagging has become a new trend in the organization, management, and discovery of digital information. The rapid growth of shared information mostly controlled by social tags poses a new challenge for social tag-based information organization and retrieval. A plausible approach for this challenge is linking social tags to a controlled vocabulary. As an introductory step for this approach, this study investigates ways of predicting relevant subject headings for resources from social tags assigned to the resources. The prediction of subject headings was measured by five different similarity measures: tf-idf, cosine-based similarity (CoS), Jaccard similarity (or Jaccard coefficient; JS), Mutual information (MI), and information radius (IRad). Their results were compared to those by professionals. The results show that a CoS measure based on top five social tags was most effective. Inclusions of more social tags only aggravate the performance. The performance of JS is comparable to the performance of CoS while tf-idf is comparable with up to 70% less than the best performance. MI and IRad have inferior performance compared to the other methods. This study demonstrates the application of the similarity measuring techniques to the prediction of correct Library of Congress subject headings.
  16. Choi, Y.: ¬A Practical application of FRBR for organizing information in digital environments (2012) 0.02
    0.016608667 = product of:
      0.06643467 = sum of:
        0.06643467 = weight(_text_:subject in 319) [ClassicSimilarity], result of:
          0.06643467 = score(doc=319,freq=8.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.39516178 = fieldWeight in 319, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=319)
      0.25 = coord(1/4)
    
    Abstract
    This study employs the FRBR (Functional Requirements for Bibliographic Records) conceptual model to provide in-depth investigation on the characteristics of social tags by analyzing the bibliographic attributes of tags that are not limited to subject properties. FRBR describes four different levels of entities (i.e., Work, Expression, Manifestation, and Item), which provide a distinguishing understanding of each entity in the bibliographic universe. In this research, since the scope of data analysis focuses on tags assigned to web documents, consideration on Manifestation and Item has been excluded. Accordingly, only the attributes of Work and Expression entity were investigated in order to map the attributes of tags to attributes defined in those entities. The content analysis on tag attributes was conducted on a total of 113 web documents regarding 11 attribute categories defined by FRBR. The findings identified essential bibliographic attributes of tags and tagging behaviors by subject. The findings showed that concerning specific subject areas, taggers exhibited different tagging behaviors representing distinctive features and tendencies. These results have led to the conclusion that there should be an increased awareness of diverse user needs by subject in terms of the practical implications of metadata generation.
  17. Hammond, T.; Hannay, T.; Lund, B.; Scott, J.: Social bookmarking tools (I) : a general review (2005) 0.02
    0.016235016 = product of:
      0.032470033 = sum of:
        0.023252133 = weight(_text_:subject in 1188) [ClassicSimilarity], result of:
          0.023252133 = score(doc=1188,freq=2.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.13830662 = fieldWeight in 1188, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.02734375 = fieldNorm(doc=1188)
        0.009217897 = product of:
          0.018435795 = sum of:
            0.018435795 = weight(_text_:classification in 1188) [ClassicSimilarity], result of:
              0.018435795 = score(doc=1188,freq=2.0), product of:
                0.14969917 = queryWeight, product of:
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.04700564 = queryNorm
                0.12315229 = fieldWeight in 1188, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.1847067 = idf(docFreq=4974, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=1188)
          0.5 = coord(1/2)
      0.5 = coord(2/4)
    
    Abstract
    Because, to paraphrase a pop music lyric from a certain rock and roll band of yesterday, "the Web is old, the Web is new, the Web is all, the Web is you", it seems like we might have to face up to some of these stark realities. With the introduction of new social software applications such as blogs, wikis, newsfeeds, social networks, and bookmarking tools (the subject of this paper), the claim that Shelley Powers makes in a Burningbird blog entry seems apposite: "This is the user's web now, which means it's my web and I can make the rules." Reinvention is revolution - it brings us always back to beginnings. We are here going to remind you of hyperlinks in all their glory, sell you on the idea of bookmarking hyperlinks, point you at other folks who are doing the same, and tell you why this is a good thing. Just as long as those hyperlinks (or let's call them plain old links) are managed, tagged, commented upon, and published onto the Web, they represent a user's own personal library placed on public record, which - when aggregated with other personal libraries - allows for rich, social networking opportunities. Why spill any ink (digital or not) in rewriting what someone else has already written about instead of just pointing at the original story and adding the merest of titles, descriptions and tags for future reference? More importantly, why not make these personal 'link playlists' available to oneself and to others from whatever browser or computer one happens to be using at the time? This paper reviews some current initiatives, as of early 2005, in providing public link management applications on the Web - utilities that are often referred to under the general moniker of 'social bookmarking tools'. There are a couple of things going on here: 1) server-side software aimed specifically at managing links with, crucially, a strong, social networking flavour, and 2) an unabashedly open and unstructured approach to tagging, or user classification, of those links.
  18. Kipp, M.E.I.; Campbell, D.G.: Searching with tags : do tags help users find things? (2010) 0.01
    0.014383527 = product of:
      0.05753411 = sum of:
        0.05753411 = weight(_text_:subject in 4064) [ClassicSimilarity], result of:
          0.05753411 = score(doc=4064,freq=6.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.34222013 = fieldWeight in 4064, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4064)
      0.25 = coord(1/4)
    
    Abstract
    The question of whether tags can be useful in the process of information retrieval was examined in this pilot study. Many tags are subject related and could work well as index terms or entry vocabulary; however, folksonomies also include relationships that are traditionally not included in controlled vocabularies including affective or time and task related tags and the user name of the tagger. Participants searched a social bookmarking tool, specialising in academic articles (CiteULike), and an online journal database (Pubmed) for articles relevant to a given information request. Screen capture software was used to collect participant actions and a semi-structured interview asked them to describe their search process. Preliminary results showed that participants did use tags in their search process, as a guide to searching and as hyperlinks to potentially useful articles. However, participants also used controlled vocabularies in the journal database to locate useful search terms and links to related articles supplied by Pubmed. Additionally, participants reported using user names of taggers and group names to help select resources by relevance. The inclusion of subjective and social information from the taggers is very different from the traditional objectivity of indexing and was reported as an asset by a number of participants. This study suggests that while users value social and subjective factors when searching, they also find utility in objective factors such as subject headings. Most importantly, users are interested in the ability of systems to connect them with related articles whether via subject access or other means.
  19. Kipp, M.E.I.: Tagging of biomedical articles on CiteULike : a comparison of user, author and professional indexing (2011) 0.01
    0.01409292 = product of:
      0.05637168 = sum of:
        0.05637168 = weight(_text_:subject in 4557) [ClassicSimilarity], result of:
          0.05637168 = score(doc=4557,freq=4.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.33530587 = fieldWeight in 4557, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=4557)
      0.25 = coord(1/4)
    
    Abstract
    This paper examines the context of online indexing from the viewpoint of three different groups: users, authors, and professional indexers. User tags, author keywords, and descriptors were collected from academic journal articles, which were both indexed in PubMed and tagged on CiteULike, and analysed. Descriptive statistics, informetric measures, and thesaural term comparison shows that there are important differences in the use of keywords among the three groups in addition to similarities, which can be used to enhance support for search and browse. While tags and author keywords were found that matched descriptors exactly, other terms which did not match but provided important expansion to the indexing lexicon were found. These additional terms could be used to enhance support for searching and browsing in article databases as well as to provide invaluable data for entry vocabulary and emergent terminology for regular updates to indexing systems. Additionally, the study suggests that tags support organisation by association to task, projects, and subject while making important connections to traditional systems which classify into subject categories.
  20. Vaidya, P.; Harinarayana, N.S.: ¬The comparative and analytical study of LibraryThing tags with Library of Congress Subject Headings (2016) 0.01
    0.01409292 = product of:
      0.05637168 = sum of:
        0.05637168 = weight(_text_:subject in 2492) [ClassicSimilarity], result of:
          0.05637168 = score(doc=2492,freq=4.0), product of:
            0.16812018 = queryWeight, product of:
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.04700564 = queryNorm
            0.33530587 = fieldWeight in 2492, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.576596 = idf(docFreq=3361, maxDocs=44218)
              0.046875 = fieldNorm(doc=2492)
      0.25 = coord(1/4)
    
    Abstract
    The internet in its Web 2.0 version has given an opportunity among users to be participative and the chance to enhance the existing system, which makes it dynamic and collaborative. The activity of social tagging among researchers to organize the digital resources is an interesting study among information professionals. The one way of organizing the resources for future retrieval through these user-generated terms makes an interesting analysis by comparing them with professionally created controlled vocabularies. Here in this study, an attempt has been made to compare Library of Congress Subject Headings (LCSH) terms with LibraryThing social tags. In this comparative analysis, the results show that social tags can be used to enhance the metadata for information retrieval. But still, the uncontrolled nature of social tags is a concern and creates uncertainty among researchers.

Languages

  • e 53
  • d 3
  • More… Less…

Types

  • a 51
  • el 8
  • b 2
  • More… Less…