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Towards better understanding of folksonomic patterns

Published: 10 September 2007 Publication History

Abstract

Folksonomies provide a free source of keywords describing web resources; however, these keywords are free form and their semantics spans multiple contextual dimension. In this paper, we present a pragmatic experiment that analyzes folksonomies using three classification categories: Personal, Factual and Subjective, in order to gain more understanding of the types of tags used in the social tagging process. The rational for this work was to measure the potential portion of folksonomy tags that might be helpful when considering the creation of structured metadata.

References

[1]
Sen, S., S. Lam, A. Rashid, D. Cosley, D. Frankowski, J. Osterhouse, M. Harper, and J. Riedl. Tagging, communities, vocabulary, evolution. In Proceedings of CSCW '06. 2006. ACM.
[2]
Golder, S. A. and B. A. Huberman, The Structure of Collaborative Tagging Systems. Journal of Information Science, 2006. 32(2): p. pp. 198--208.
[3]
Kipp, M. E. Exploring the context of user, creator and intermediate tagging. In IA Summit 2006. 2006. Canada.
[4]
Guy, M. and E. Tonkin, Folksonomies: Tidying up Tags? D-Lib Magazine, 2006. V 12(1).
[5]
Al-Khalifa, H. S. and Davis H. C., Exploring the Value of Folksonomies for Creating Semantic Metadata. International Journal on Semantic Web and Information Systems (IJSWIS), 2007. 3(1): p. pp. 13--39.
[6]
Al-Khalifa, H. S. and Davis H. C., FolksAnnotation: A Semantic Metadata Tool for Annotating Learning Resources Using Folksonomies and Domain Ontologies. In Proceedings of the 2ed IEEE Conference on IIT. 2006. Dubai, UAE.

Cited By

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  • (2018)Folksonomies to Support Coordination and Coordination of FolksonomiesComputer Supported Cooperative Work10.5555/3269986.327001327:3-6(647-678)Online publication date: 1-Dec-2018
  • (2018)Folksonomies to Support Coordination and Coordination of FolksonomiesComputer Supported Cooperative Work10.1007/s10606-018-9327-z27:3-6(647-678)Online publication date: 1-Dec-2018
  • (2018)Towards Semantic Interoperability for IoT: Combining Social Tagging Data and Wikipedia to Generate a Domain-Specific OntologyRecent Trends in Data Science and Soft Computing10.1007/978-3-319-99007-1_34(355-363)Online publication date: 9-Sep-2018
  • Show More Cited By

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      cover image ACM Conferences
      HT '07: Proceedings of the eighteenth conference on Hypertext and hypermedia
      September 2007
      240 pages
      ISBN:9781595938206
      DOI:10.1145/1286240
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 10 September 2007

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      Author Tags

      1. collaborative tagging
      2. folksonomy
      3. social bookmarking

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      HT07
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      HT07: 18th Conference on Hypertext and Hypermedia
      September 10 - 12, 2007
      Manchester, UK

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      Overall Acceptance Rate 378 of 1,158 submissions, 33%

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      Cited By

      View all
      • (2018)Folksonomies to Support Coordination and Coordination of FolksonomiesComputer Supported Cooperative Work10.5555/3269986.327001327:3-6(647-678)Online publication date: 1-Dec-2018
      • (2018)Folksonomies to Support Coordination and Coordination of FolksonomiesComputer Supported Cooperative Work10.1007/s10606-018-9327-z27:3-6(647-678)Online publication date: 1-Dec-2018
      • (2018)Towards Semantic Interoperability for IoT: Combining Social Tagging Data and Wikipedia to Generate a Domain-Specific OntologyRecent Trends in Data Science and Soft Computing10.1007/978-3-319-99007-1_34(355-363)Online publication date: 9-Sep-2018
      • (2018)Accessing Information with Tags: Search and RankingSocial Information Access10.1007/978-3-319-90092-6_9(310-343)Online publication date: 3-May-2018
      • (2016)Characteristics of tagging behavior in digitized humanities online collectionsJournal of the Association for Information Science and Technology10.1002/asi.2347267:5(1089-1104)Online publication date: 16-Apr-2016
      • (2015)Dealing with the long tail: Providing uniformity to compound tagsProceedings of the American Society for Information Science and Technology10.1002/meet.2014.1450510104851:1(1-9)Online publication date: 24-Apr-2015
      • (2013)Knowledge Dissemination in PortalsIndustrial Engineering10.4018/978-1-4666-1945-6.ch076(1418-1428)Online publication date: 2013
      • (2013)Social semantic query expansionACM Transactions on Intelligent Systems and Technology10.1145/2508037.25080414:4(1-43)Online publication date: 8-Oct-2013
      • (2013)Can simple social copying heuristics explain tag popularity in a collaborative tagging system?Proceedings of the 5th Annual ACM Web Science Conference10.1145/2464464.2464516(215-224)Online publication date: 2-May-2013
      • (2013)Finding subject terms for classificatory metadata from user‐generated social tagsJournal of the American Society for Information Science and Technology10.1002/asi.2280464:5(964-980)Online publication date: 14-Mar-2013
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