Search (34 results, page 1 of 2)

  • × theme_ss:"Social tagging"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Ding, Y.; Jacob, E.K.; Zhang, Z.; Foo, S.; Yan, E.; George, N.L.; Guo, L.: Perspectives on social tagging (2009) 0.04 
    0.04017412 = product of:
  0.12052235 = sum of:
    0.057803504 = weight(_text_:wide in 3290) [ClassicSimilarity], result of:
      0.057803504 = score(doc=3290,freq=2.0), product of:
        0.19679762 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.044416238 = queryNorm
        0.29372054 = fieldWeight in 3290, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046875 = fieldNorm(doc=3290)
    0.062718846 = weight(_text_:web in 3290) [ClassicSimilarity], result of:
      0.062718846 = score(doc=3290,freq=8.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.43268442 = fieldWeight in 3290, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3290)
  0.33333334 = coord(2/6)
    Abstract
    Social tagging is one of the major phenomena transforming the World Wide Web from a static platform into an actively shared information space. This paper addresses various aspects of social tagging, including different views on the nature of social tagging, how to make use of social tags, and how to bridge social tagging with other Web functionalities; it discusses the use of facets to facilitate browsing and searching of tagging data; and it presents an analogy between bibliometrics and tagometrics, arguing that established bibliometric methodologies can be applied to analyze tagging behavior on the Web. Based on the Upper Tag Ontology (UTO), a Web crawler was built to harvest tag data from Delicious, Flickr, and YouTube in September 2007. In total, 1.8 million objects, including bookmarks, photos, and videos, 3.1 million taggers, and 12.1 million tags were collected and analyzed. Some tagging patterns and variations are identified and discussed.
  2. Bentley, C.M.; Labelle, P.R.: ¬A comparison of social tagging designs and user participation (2008) 0.03 
    0.029578885 = product of:
  0.05915777 = sum of:
    0.020906283 = weight(_text_:web in 2657) [ClassicSimilarity], result of:
      0.020906283 = score(doc=2657,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.14422815 = fieldWeight in 2657, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=2657)
    0.02621591 = weight(_text_:computer in 2657) [ClassicSimilarity], result of:
      0.02621591 = score(doc=2657,freq=2.0), product of:
        0.16231956 = queryWeight, product of:
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.044416238 = queryNorm
        0.16150802 = fieldWeight in 2657, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.03125 = fieldNorm(doc=2657)
    0.012035574 = product of:
      0.024071148 = sum of:
        0.024071148 = weight(_text_:22 in 2657) [ClassicSimilarity], result of:
          0.024071148 = score(doc=2657,freq=2.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = 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)
  0.5 = coord(3/6)
    Abstract
    Social tagging empowers users to categorize content in a personally meaningful way while harnessing their potential to contribute to a collaborative construction of knowledge (Vander Wal, 2007). In addition, social tagging systems offer innovative filtering mechanisms that facilitate resource discovery and browsing (Mathes, 2004). As a result, social tags may support online communication, informal or intended learning as well as the development of online communities. The purpose of this mixed methods study is to examine how undergraduate students participate in social tagging activities in order to learn about their motivations, behaviours and practices. A better understanding of their knowledge, habits and interactions with such systems will help practitioners and developers identify important factors when designing enhancements. In the first phase of the study, students enrolled at a Canadian university completed 103 questionnaires. Quantitative results focusing on general familiarity with social tagging, frequently used Web 2.0 sites, and the purpose for engaging in social tagging activities were compiled. Eight questionnaire respondents participated in follow-up semi-structured interviews that further explored tagging practices by situating questionnaire responses within concrete experiences using popular websites such as YouTube, Facebook, Del.icio.us, and Flickr. Preliminary results of this study echo findings found in the growing literature concerning social tagging from the fields of computer science (Sen et al., 2006) and information science (Golder & Huberman, 2006; Macgregor & McCulloch, 2006). Generally, two classes of social taggers emerge: those who focus on tagging for individual purposes, and those who view tagging as a way to share or communicate meaning to others. Heavy del.icio.us users, for example, were often focused on simply organizing their own content, and seemed to be conscientiously maintaining their own personally relevant categorizations while, in many cases, placing little importance on the tags of others. Conversely, users tagging items primarily to share content preferred to use specific terms to optimize retrieval and discovery by others. Our findings should inform practitioners of how interaction design can be tailored for different tagging systems applications, and how these findings are positioned within the current debate surrounding social tagging among the resource discovery community. We also hope to direct future research in the field to place a greater importance on exploring the benefits of tagging as a socially-driven endeavour rather than uniquely as a means of managing information.
    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. Hammond, T.; Hannay, T.; Lund, B.; Scott, J.: Social bookmarking tools (I) : a general review (2005) 0.02 
    0.02489311 = product of:
  0.07467933 = sum of:
    0.05174041 = weight(_text_:web in 1188) [ClassicSimilarity], result of:
      0.05174041 = score(doc=1188,freq=16.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.35694647 = fieldWeight in 1188, product of:
          4.0 = tf(freq=16.0), with freq of:
            16.0 = termFreq=16.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1188)
    0.02293892 = weight(_text_:computer in 1188) [ClassicSimilarity], result of:
      0.02293892 = score(doc=1188,freq=2.0), product of:
        0.16231956 = queryWeight, product of:
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.044416238 = queryNorm
        0.14131951 = fieldWeight in 1188, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.02734375 = fieldNorm(doc=1188)
  0.33333334 = coord(2/6)
    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.
  4. Harrer, A.; Lohmann, S.: Potenziale von Tagging als partizipative Methode für Lehrportale und E-Learning-Kurse (2008) 0.02 
    0.022313368 = product of:
  0.0669401 = sum of:
    0.04587784 = weight(_text_:computer in 2889) [ClassicSimilarity], result of:
      0.04587784 = score(doc=2889,freq=2.0), product of:
        0.16231956 = queryWeight, product of:
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.044416238 = queryNorm
        0.28263903 = fieldWeight in 2889, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2889)
    0.021062255 = product of:
      0.04212451 = sum of:
        0.04212451 = weight(_text_:22 in 2889) [ClassicSimilarity], result of:
          0.04212451 = score(doc=2889,freq=2.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = queryNorm
            0.2708308 = fieldWeight in 2889, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2889)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Date
    21. 6.2009 12:22:44
    Theme
    Computer Based Training
  5. Catarino, M.E.; Baptista, A.A.: Relating folksonomies with Dublin Core (2008) 0.02 
    0.022179842 = product of:
  0.066539526 = sum of:
    0.045263432 = weight(_text_:web in 2652) [ClassicSimilarity], result of:
      0.045263432 = score(doc=2652,freq=6.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.3122631 = fieldWeight in 2652, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2652)
    0.02127609 = product of:
      0.04255218 = sum of:
        0.04255218 = weight(_text_:22 in 2652) [ClassicSimilarity], result of:
          0.04255218 = score(doc=2652,freq=4.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = 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)
  0.33333334 = coord(2/6)
    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
  6. Kruk, S.R.; Kruk, E.; Stankiewicz, K.: Evaluation of semantic and social technologies for digital libraries (2009) 0.02 
    0.020800762 = product of:
  0.062402282 = sum of:
    0.04434892 = weight(_text_:web in 3387) [ClassicSimilarity], result of:
      0.04434892 = score(doc=3387,freq=4.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.3059541 = fieldWeight in 3387, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3387)
    0.01805336 = product of:
      0.03610672 = sum of:
        0.03610672 = weight(_text_:22 in 3387) [ClassicSimilarity], result of:
          0.03610672 = score(doc=3387,freq=2.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = queryNorm
            0.23214069 = fieldWeight in 3387, 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=3387)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Abstract
    Libraries are the tools we use to learn and to answer our questions. The quality of our work depends, among others, on the quality of the tools we use. Recent research in digital libraries is focused, on one hand on improving the infrastructure of the digital library management systems (DLMS), and on the other on improving the metadata models used to annotate collections of objects maintained by DLMS. The latter includes, among others, the semantic web and social networking technologies. Recently, the semantic web and social networking technologies are being introduced to the digital libraries domain. The expected outcome is that the overall quality of information discovery in digital libraries can be improved by employing social and semantic technologies. In this chapter we present the results of an evaluation of social and semantic end-user information discovery services for the digital libraries.
    Date
    1. 8.2010 12:35:22
  7. Rolla, P.J.: User tags versus Subject headings : can user-supplied data improve subject access to library collections? (2009) 0.02 
    0.016470928 = product of:
  0.049412783 = sum of:
    0.031359423 = weight(_text_:web in 3601) [ClassicSimilarity], result of:
      0.031359423 = score(doc=3601,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.21634221 = fieldWeight in 3601, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=3601)
    0.01805336 = product of:
      0.03610672 = sum of:
        0.03610672 = weight(_text_:22 in 3601) [ClassicSimilarity], result of:
          0.03610672 = score(doc=3601,freq=2.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = 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)
  0.33333334 = coord(2/6)
    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
  8. 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) 0.02 
    0.015938118 = product of:
  0.047814354 = sum of:
    0.03276989 = weight(_text_:computer in 2650) [ClassicSimilarity], result of:
      0.03276989 = score(doc=2650,freq=2.0), product of:
        0.16231956 = queryWeight, product of:
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.044416238 = queryNorm
        0.20188503 = fieldWeight in 2650, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.6545093 = idf(docFreq=3109, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2650)
    0.0150444675 = product of:
      0.030088935 = sum of:
        0.030088935 = weight(_text_:22 in 2650) [ClassicSimilarity], result of:
          0.030088935 = score(doc=2650,freq=2.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = 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(2/6)
    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
  9. Santini, M.: Zero, single, or multi? : genre of web pages through the users' perspective (2008) 0.01 
    0.013773223 = product of:
  0.08263934 = sum of:
    0.08263934 = weight(_text_:web in 2059) [ClassicSimilarity], result of:
      0.08263934 = score(doc=2059,freq=20.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.5701118 = fieldWeight in 2059, product of:
          4.472136 = tf(freq=20.0), with freq of:
            20.0 = termFreq=20.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2059)
  0.16666667 = coord(1/6)
    Abstract
    The goal of the study presented in this article is to investigate to what extent the classification of a web page by a single genre matches the users' perspective. The extent of agreement on a single genre label for a web page can help understand whether there is a need for a different classification scheme that overrides the single-genre labelling. My hypothesis is that a single genre label does not account for the users' perspective. In order to test this hypothesis, I submitted a restricted number of web pages (25 web pages) to a large number of web users (135 subjects) asking them to assign only a single genre label to each of the web pages. Users could choose from a list of 21 genre labels, or select one of the two 'escape' options, i.e. 'Add a label' and 'I don't know'. The rationale was to observe the level of agreement on a single genre label per web page, and draw some conclusions about the appropriateness of limiting the assignment to only a single label when doing genre classification of web pages. Results show that users largely disagree on the label to be assigned to a web page.
  10. Blumauer, A.; Hochmeister, M.: Tag-Recommender gestützte Annotation von Web-Dokumenten (2009) 0.01 
    0.013634796 = product of:
  0.081808776 = sum of:
    0.081808776 = weight(_text_:web in 4866) [ClassicSimilarity], result of:
      0.081808776 = score(doc=4866,freq=10.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.5643819 = fieldWeight in 4866, product of:
          3.1622777 = tf(freq=10.0), with freq of:
            10.0 = termFreq=10.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4866)
  0.16666667 = coord(1/6)
    Abstract
    In diesem Kapitel wird die zentrale Bedeutung der Annotation von Webdokumenten bzw. von Ressourcen in einem Semantischen Web diskutiert. Es wird auf aktuelle Methoden und Techniken in diesem Gebiet eingegangen, insbesondere wird das Phänomen "Social Tagging" als zentrales Element eines "Social Semantic Webs" beleuchtet. Weiters wird der Frage nachgegangen, welchen Mehrwert "Tag Recommender" beim Annotationsvorgang bieten, sowohl aus Sicht des End-Users aber auch im Sinne eines kollaborativen Ontologieerstellungsprozesses. Schließlich wird ein Funktionsprinzip für einen semi-automatischen Tag-Recommender vorgestellt unter besonderer Berücksichtigung der Anwendbarkeit in einem Corporate Semantic Web.
    Source
    Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
  11. Voß, J.: Vom Social Tagging zum Semantic Tagging (2008) 0.01 
    0.012195333 = product of:
  0.073171996 = sum of:
    0.073171996 = weight(_text_:web in 2884) [ClassicSimilarity], result of:
      0.073171996 = score(doc=2884,freq=8.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.50479853 = fieldWeight in 2884, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2884)
  0.16666667 = coord(1/6)
    Abstract
    Social Tagging als freie Verschlagwortung durch Nutzer im Web wird immer häufiger mit der Idee des Semantic Web in Zusammenhang gebracht. Wie beide Konzepte in der Praxis konkret zusammenkommen sollen, bleibt jedoch meist unklar. Dieser Artikel soll hier Aufklärung leisten, indem die Kombination von Social Tagging und Semantic Web in Form von Semantic Tagging mit dem Simple Knowledge Organisation System dargestellt und auf die konkreten Möglichkeiten, Vorteile und offenen Fragen der Semantischen Indexierung eingegangen wird.
    Theme
    Semantic Web
  12. Hotho, A.; Jäschke, R.; Benz, D.; Grahl, M.; Krause, B.; Schmitz, C.; Stumme, G.: Social Bookmarking am Beispiel BibSonomy (2009) 0.01 
    0.012070249 = product of:
  0.07242149 = sum of:
    0.07242149 = weight(_text_:web in 4873) [ClassicSimilarity], result of:
      0.07242149 = score(doc=4873,freq=6.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.49962097 = fieldWeight in 4873, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=4873)
  0.16666667 = coord(1/6)
    Abstract
    BibSonomy ist ein kooperatives Verschlagwortungssystem (Social Bookmarking System), betrieben vom Fachgebiet Wissensverarbeitung der Universität Kassel. Es erlaubt das Speichern und Organisieren von Web-Lesezeichen und Metadaten für wissenschaftliche Publikationen. In diesem Beitrag beschreiben wir die von BibSonomy bereitgestellte Funktionalität, die dahinter stehende Architektur sowie das zugrunde liegende Datenmodell. Ferner erläutern wir Anwendungsbeispiele und gehen auf Methoden zur Analyse der in BibSonomy und ähnlichen Systemen enthaltenen Daten ein.
    Source
    Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini
  13. DeZelar-Tiedman, V.: Doing the LibraryThing(TM) in an academic library catalog (2008) 0.01 
    0.010980619 = product of:
  0.032941855 = sum of:
    0.020906283 = weight(_text_:web in 2666) [ClassicSimilarity], result of:
      0.020906283 = score(doc=2666,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.14422815 = fieldWeight in 2666, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=2666)
    0.012035574 = product of:
      0.024071148 = sum of:
        0.024071148 = weight(_text_:22 in 2666) [ClassicSimilarity], result of:
          0.024071148 = score(doc=2666,freq=2.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = 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(2/6)
    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
  14. Vander Wal, T.: Welcome to the Matrix! (2008) 0.01 
    0.010980619 = product of:
  0.032941855 = sum of:
    0.020906283 = weight(_text_:web in 2881) [ClassicSimilarity], result of:
      0.020906283 = score(doc=2881,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.14422815 = fieldWeight in 2881, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.03125 = fieldNorm(doc=2881)
    0.012035574 = product of:
      0.024071148 = sum of:
        0.024071148 = weight(_text_:22 in 2881) [ClassicSimilarity], result of:
          0.024071148 = score(doc=2881,freq=2.0), product of:
            0.1555381 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044416238 = queryNorm
            0.15476047 = fieldWeight in 2881, 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=2881)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)
    Abstract
    My keynote at the workshop "Social Tagging in Knowledge Organization" was a great opportunity to make and share new experiences. For the first time ever, I sat in my office at home and gave a live web video presentation to a conference audience elsewhere on the globe. At the same time, it was also an opportunity to premier my conceptual model "Matrix of Perception" to an interdisciplinary audience of researchers and practitioners with a variety of backgrounds - reaching from philosophy, psychology, pedagogy and computation to library science and economics. The interdisciplinary approach of the conference is also mirrored in the structure of this volume, with articles on the theoretical background, the empirical analysis and the potential applications of tagging, for instance in university libraries, e-learning, or e-commerce. As an introduction to the topic of "social tagging" I would like to draw your attention to some foundation concepts of the phenomenon I have racked my brain with for the last few month. One thing I have seen missing in recent research and system development is a focus on the variety of user perspectives in social tagging. Different people perceive tagging in complex variegated ways and use this form of knowledge organization for a variety of purposes. My analytical interest lies in understanding the personas and patterns in tagging systems and in being able to label their different perceptions. To come up with a concise picture of user expectations, needs and activities, I have broken down the perspectives on tagging into two different categories, namely "faces" and "depth". When put together, they form the "Matrix of Perception" - a nuanced view of stakeholders and their respective levels of participation.
    Date
    22. 6.2009 9:15:45
  15. Kuchler, T.; Pawlowski, J.M.; Zimmermann, V.: Social Tagging and Open Content : a concept for the future of e-learning and knowledge management? (2008) 0.01 
    0.009633917 = product of:
  0.057803504 = sum of:
    0.057803504 = weight(_text_:wide in 2892) [ClassicSimilarity], result of:
      0.057803504 = score(doc=2892,freq=2.0), product of:
        0.19679762 = queryWeight, product of:
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.044416238 = queryNorm
        0.29372054 = fieldWeight in 2892, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.4307585 = idf(docFreq=1430, maxDocs=44218)
          0.046875 = fieldNorm(doc=2892)
  0.16666667 = coord(1/6)
    Abstract
    Open Content is a promising concept for e-learning and knowledge management. It can improve sharing and re-using educational resources and create new business opportunities. However, in contrast to open source software, these opportunities have not yet been adopted by a wide community. This article discusses barriers and opportunities. The Content Explosion Model shows how content can be re-used and adapted to increase sharing and distributing Open Content. Social tagging is discussed, on the basis of an implementation example (SLIDESTAR), as a means of fostering content exchange on a content community platform.
  16. Derntl, M.; Hampel, T.; Motschnig, R.; Pitner, T.: Social Tagging und Inclusive Universal Access (2008) 0.01 
    0.0073914872 = product of:
  0.04434892 = sum of:
    0.04434892 = weight(_text_:web in 2864) [ClassicSimilarity], result of:
      0.04434892 = score(doc=2864,freq=4.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.3059541 = fieldWeight in 2864, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.046875 = fieldNorm(doc=2864)
  0.16666667 = coord(1/6)
    Abstract
    Der vorliegende Artikel beleuchtet und bewertet Social Tagging als aktuelles Phänomen des Web 2.0 im Kontext bekannter Techniken der semantischen Datenorganisation. Tagging wird in einen Raum verwandter Ordnungs- und Strukturierungsansätze eingeordnet, um die fundamentalen Grundlagen des Social Tagging zu identifizieren und zuzuweisen. Dabei wird Tagging anhand des Inclusive Universal Access Paradigmas bewertet, das technische als auch menschlich-soziale Kriterien für die inklusive und barrierefreie Bereitstellung und Nutzung von Diensten definiert. Anhand dieser Bewertung werden fundamentale Prinzipien des "Inclusive Social Tagging" hergeleitet, die der Charakterisierung und Bewertung gängiger Tagging-Funktionalitäten in verbreiteten Web-2.0-Diensten dienen. Aus der Bewertung werden insbesondere Entwicklungsmöglichkeiten von Social Tagging und unterstützenden Diensten erkennbar.
  17. Lewen, H.: Personalisierte Ordnung von Objekten basierend auf Vertrauensnetzwerken (2008) 0.01 
    0.006968761 = product of:
  0.041812565 = sum of:
    0.041812565 = weight(_text_:web in 2305) [ClassicSimilarity], result of:
      0.041812565 = score(doc=2305,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.2884563 = fieldWeight in 2305, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=2305)
  0.16666667 = coord(1/6)
    Abstract
    Open Rating Systeme werden zur Be­wertung unterschiedlichster Objekte eingesetzt. Benutzer können Rezensionen über Objekte verfassen, andere Benutzer können die Qualität dieser Rezensionen bewerten. Basierend auf diesen Bewertungen der Rezensionen wird ein Vertrauensnetzwerk (Web of Trust) aufgebaut. Zwei Benutzer werden durch eine gerichtete Kante verbunden, wenn ein Benutzer dem System mitteilt, dass er einem anderen Benutzer vertraut, Inhalte korrekt zu bewerten. Basierend auf diesem persönlichen Vertrauensnetzwerk werden Objekte und auch die Rezensionen für ein bestimmtes Objekt individuell für jeden Benutzer angeordnet.
  18. Regulski, K.: Aufwand und Nutzen beim Einsatz von Social-Bookmarking-Services als Nachweisinstrument für wissenschaftliche Forschungsartikel am Beispiel von BibSonomy (2007) 0.01 
    0.006968761 = product of:
  0.041812565 = sum of:
    0.041812565 = weight(_text_:web in 4595) [ClassicSimilarity], result of:
      0.041812565 = score(doc=4595,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.2884563 = fieldWeight in 4595, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0625 = fieldNorm(doc=4595)
  0.16666667 = coord(1/6)
    Abstract
    Autoren wissenschaftlicher Artikel stehen unterschiedliche Wege bei der Recherche nach Hintergrundmaterial zu ihren Projekten zur Verfügung. Dass Social-Bookmarking-Dienste, die als Teil des Web 2.0 (O'Reilly, 2005) und der Bibliothek 2.0 (Danowski, 2006) genannt werden, eine sinnvolle Ergänzung zu den herkömmlichen Nachweisdatenbanken sein können, soll der vorliegende Artikel zeigen.
  19. Marchitelli, A.; Piazzini, T.: OPAC, SOPAC e social networking : cataloghi di biblioteca 2.0? (2008) 0.01 
    0.0060976665 = product of:
  0.036585998 = sum of:
    0.036585998 = weight(_text_:web in 3862) [ClassicSimilarity], result of:
      0.036585998 = score(doc=3862,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.25239927 = fieldWeight in 3862, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3862)
  0.16666667 = coord(1/6)
    Abstract
    In this article are compared traditional OPAC systems, enriched OPAC, social OPAC and social cataloguing systems.the aim is to underline new theoretical trends and to offer a taxonomic outline of such tools, according to the interaction level granted to users and to the chance to manage user's generated contents in the point of view of the application of web 2.0 tendecies to libraries, in the library 2.0. At the end, a brief review of softwares, both open source and not, that seem promising for this future application.
  20. Abreu, A.: "Every bit informs another" : framework analysis for descriptive practice and linked information (2008) 0.01 
    0.0060976665 = product of:
  0.036585998 = sum of:
    0.036585998 = weight(_text_:web in 2249) [ClassicSimilarity], result of:
      0.036585998 = score(doc=2249,freq=2.0), product of:
        0.14495286 = queryWeight, product of:
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.044416238 = queryNorm
        0.25239927 = fieldWeight in 2249, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.2635105 = idf(docFreq=4597, maxDocs=44218)
          0.0546875 = fieldNorm(doc=2249)
  0.16666667 = coord(1/6)
    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.

Authors

Languages

  • e 20
  • d 13
  • i 1
  • More… Less…

Types

Themes