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Enabling semantics-aware collaborative tagging and social search in an open interoperable tagosphere

Published:24 November 2008Publication History

ABSTRACT

To make the most of a global network effect and to search and filter the Long Tail, a collaborative tagging approach to social search should be based on the global activity of tagging, rating and filtering. We take a further step towards this objective by proposing a shared conceptualization of both the activity of tagging and the organization of the tagosphere in which tagging takes place. We also put forward the necessary data standards to interoperate at both data format and semantic levels. We highlight how this conceptualization makes provision for attaching identity and meaning to tags and tag categorization through a Wikipedia-based collaborative framework. Used together, these concepts are a useful and agile means of unambiguously defining terms used during tagging, and of clarifying any vague search terms. This improves search results in terms of recall and precision, and represents an innovative means of semantics-aware collaborative filtering and content ranking.

References

  1. T. Çelik and D. Powazek. Rel-Tag: Draft specification. Microformats, 2005. Bud Gibson, The Community Engine. xFolk (RC1): Draft specification, Microfornats, 2006, Available at http://microformats.org/wiki.Google ScholarGoogle Scholar
  2. R. T. Fielding. Architectural Styles and the Design of Network-based Software Architectures. Ph. D. Dissertation. University of California, Irvine 2000 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. Gabrilovich and S. Markovitch. Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis. Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Golder and B. Huberman. Usage Patterns of Collaborative Tagging Systems. Journal of Information Science, 32(2):198--208, 2006 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. T. Gruber. Ontology of Folksonomy. Invited keynote to the First on-Line conference on Metadata and Semantics Research (MTSR'05), 2005.Google ScholarGoogle Scholar
  6. M. Kipp and D. Campbell. Patterns and Inconsistencies in Collaborative Tagging Systems. Annual General Meeting of the American Society for Information Science and Technology, 2006.Google ScholarGoogle Scholar
  7. K. F. Lawrence, M. C. Schraefel. Freedom and Restraint Tags, Vocabularies and Ontologies. Information and Communication Technologies (ICTTA'06), pages 1745--1750, IEEE Computer Society, 2006.Google ScholarGoogle Scholar
  8. R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. R. Swartout. Enabling technology for knowledge sharing. AI Magazine, 12(3):16--36, 1991. Conger., S., and Loch, K. D. (eds.). Ethics and computer use. Commun. ACM 38, 12 (entire issue). Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. D. P. Reed. The law of the pack. Harvard Business Review, Harvard Business School Publishing Corp., February 2000.Google ScholarGoogle Scholar

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  1. Enabling semantics-aware collaborative tagging and social search in an open interoperable tagosphere

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          cover image ACM Conferences
          iiWAS '08: Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
          November 2008
          703 pages
          ISBN:9781605583495
          DOI:10.1145/1497308

          Copyright © 2008 ACM

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          Publication History

          • Published: 24 November 2008

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