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Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering pp 203–206Cite as

TSD: A Proposed Algorithm for Solving Tags Ambiguity

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Abstract

Tags used to describe web resources bookmarked in social bookmarking services are considered ambiguous without the existence of a proper context. In this paper, we describe an algorithm that uses the semantic relationships in an ontology to resolve the ambiguity in people’s tags.

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References

  1. Degemmis, M., P. Lops, and G. Semeraro, WordNet-Based Word Sense Disambiguation for Learning User Profiles. Semantics, Web and Mining. 2006. 18.

    Google Scholar 

  2. Mihalcea, R. and D. Moldovan. A Method for Word Sense Disambiguation of Unrestricted Text. in Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (ACL-99). 1999. Maryland, NY, USA

    Google Scholar 

  3. Zhang, L., X. Wu, and Y. Yu, Emergent Semantics from Folksonomies: A Quantitative Study. Journal on Data Semantics VI, 2006. 4090: p. 168-186.

    Google Scholar 

  4. Kipp, M.E.I. and D.G. Campbell. Patterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practices. in Proceedings Annual General Meeting of the American Society for Information Science and Technology. 2006. Austin, Texas (US)

    Google Scholar 

  5. John F. Roddick, Kathleen Hornsby and Denise de Vries A Unifying Semantic Distance Model for Determining the Similarity of Attribute Values, Conferences in Research and Practice in Information Technology, Vol. 16, pp. 111-118, ACS, 2003.

    Google Scholar 

  6. Köhler, J., S. Philippi, M. Specht, and A. Rüegg, Ontology based text indexing and querying for the semantic web. Knowledge-Based Systems, 2006. 19: p. 744-754.

    Google Scholar 

  7. Al-Khalifa, H.S. and H.C. Davis. FolksAnnotation: A Semantic Metadata Tool for Annotating Learning Resources Using Folksonomies and Domain Ontologies. in Proceedings of the Second International IEEE Conference on Innovations in Information Technology. 2006. Dubai, UAE: IEEE Computer Society.

    Google Scholar 

  8. Niwa, S., T. Doi and S. Honiden (2006). Web Page Recommender System based on Folksonomy Mining. Third International Conference on Information Technology: New Generations (ITNG 2006), Las Vegas, USA, pp. 388-393, IEEE Computer Society.

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Computer and Information Systems, King Saud University, Saudi Arabia

    Hend S. Al-Khalifa

Authors
  1. Hend S. Al-Khalifa
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Editor information

Editors and Affiliations

  1. University of Bridgeport, School of Engineering, 221 University Avenue, Bridgeport, CT 06604, USA

    Khaled Elleithy (Prof.) (Prof.)

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© 2008 Springer Science+Business Media B.V.

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Al-Khalifa, H.S. (2008). TSD: A Proposed Algorithm for Solving Tags Ambiguity. In: Elleithy, K. (eds) Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8735-6_38

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  • DOI: https://doi.org/10.1007/978-1-4020-8735-6_38

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-8734-9

  • Online ISBN: 978-1-4020-8735-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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