Skip to main content

Semantic Disambiguation and Contextualisation of Social Tags

  • Conference paper
Advances in User Modeling (UMAP 2011)

Abstract

We present an algorithmic framework to accurately and efficiently identify the semantic meanings and contexts of social tags within a particular folksonomy. The framework is used for building contextualised tag-based user and item profiles. We also present its implementation in a system called cTag, with which we preliminary analyse semantic meanings and contexts of tags belonging to Delicious and MovieLens folksonomies. The analysis includes a comparison between semantic similarities obtained for pairs of tags in Delicious folksonomy, and their semantic distances in the whole Web, according to co-occurrence based metrics computed with results of a Web search engine.

This manuscript is an extended version of the paper ‘cTag: Semantic Contextualisation of Social Tags’, presented at the 6th International Workshop on Semantic Adaptive Social Web (SASWeb 2011).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Angeletou, S., Sabou, M., Motta, E.: Improving Folksonomies Using Formal Knowledge: A Case Study on Search. In: 4th Asian Semantic Web Conference, pp. 276–290 (2009)

    Google Scholar 

  2. Au Yeung, C.M., Gibbins, N., Shadbolt, N.: Contextualising Tags in Collaborative Tagging Systems. In: 20th Conference on Hypertext and Hypermedia, pp. 251–260 (2009)

    Google Scholar 

  3. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., Ives, Z.: DBpedia: A Nucleus for a Web of Open Data. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 722–735. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  4. Benz, D., Hotho, A., Stützer, S., Stumme, G.: Semantics Made by You and Me: Self-emerging Ontologies Can Capture the Diversity of Shared Knowledge. In: 2nd Web Science Conference (2010)

    Google Scholar 

  5. Cantador, I., Bellogín, A., Fernández-Tobías, I., López-Hernández, S.: Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendations. In: Huemer, C., Setzer, T. (eds.) EC-Web 2011. LNBIP, vol. 85, pp. 101–113. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  6. Cantador, I., Bellogín, A., Vallet, D.: Content-based Recommendation in Social Tagging Systems. In: 4th ACM Conference on Recommender Systems, pp. 237–240 (2010)

    Google Scholar 

  7. Cantador, I., Konstas, I., Jose, J.M.: Categorising Social Tags to Improve Folksonomy-based Recommendations. Journal of Web Semantics 9(1), 1–15 (2011)

    Article  Google Scholar 

  8. Cilibrasi, R.L., Vitányi, P.M.B.: The Google Similarity Distance. IEEE Transactions on Knowledge and Data Engineering 19(3), 370–383 (2007)

    Article  Google Scholar 

  9. Dattolo, A., Eynard, D., Mazzola, L.: An Integrated Approach to Discover Tag Semantics. In: 26th Annual ACM Symposium on Applied Computing, pp. 814–820 (2011)

    Google Scholar 

  10. De Meo, P., Quattrone, G., Ursino, D.: Exploitation of Semantic Relationships and Hierarchical Data Structures to Support a User in his Annotation and Browsing Activities in Folksonomies. Information Systems 34(6), 511–535 (2009)

    Article  Google Scholar 

  11. García-Silva, A., Szomszor, M., Alani, H., Corcho, O.: Preliminary Results in Tag Disambiguation using DBpedia. In: 1st International Workshop on Collective Knowledge Capturing and Representation (2009)

    Google Scholar 

  12. Gemmell, J., Ramezani, M., Schimoler, T., Christiansen, L., Mobasher, B.: The Impact of Ambiguity and Redundancy on Tag Recommendation in Folksonomies. In: 3rd ACM Conference on Recommender Systems, pp. 45–52 (2009)

    Google Scholar 

  13. Golder, S.A., Huberman, B.A.: Usage Patterns of Collaborative Tagging Systems. Journal of Information Science 32(2), 198–208 (2006)

    Article  Google Scholar 

  14. Markines, B., Cattuto, C., Menczer, F., Benz, D., Hotho, A., Stumme, G.: Evaluating Similarity Measures for Emergent Semantics of Social Tagging. In: 18th International Conference on World Wide Web, pp. 641–650 (2009)

    Google Scholar 

  15. Newman, M.E.J., Girvan, M.: Finding and Evaluating Community Structure in Networks. Physical Review E 69, 026113 (2004)

    Article  Google Scholar 

  16. Niwa, S., Doi, T., Honiden, S.: Web Page Recommender System based on Folksonomy Mining for ITNG’06 Submissions. In: 3rd International Conference on Information Technology: New Generations, pp. 388–393 (2006)

    Google Scholar 

  17. Sen, S., Vig, J., Riedl, J.: Tagommenders: Connecting Users to Items through Tags. In: 18th International Conference on World Wide Web, pp. 671–680 (2009)

    Google Scholar 

  18. Shepitsen, A., Gemmell, J., Mobasher, B., Burke, R.: Personalized Recommendation in Social Tagging Systems using Hierarchical Clustering. In: 2nd ACM Conference on Recommender Systems, pp. 259–266 (2008)

    Google Scholar 

  19. Specia, L., Motta, E.: Integrating Folksonomies with the Semantic Web. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 624–639. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  20. Suchanek, F.M., Kasneci, G., Weikum, G.: YAGO: A Large Ontology from Wikipedia and WordNet. Journal of Web Semantics 6(3), 203–217 (2008)

    Article  Google Scholar 

  21. Vallet, D., Cantador, I., Jose, J.M.: Personalizing Web Search with Folksonomy-Based User and Document Profiles. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 420–431. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  22. Vandic, D., van Dam, J.W., Hogenboom, F., Frasincar, F.: A Semantic Clustering-based Approach for Searching and Browsing Tag Spaces. In: 26th Annual ACM Symposium on Applied Computing, pp. 1693–1699 (2011)

    Google Scholar 

  23. Weinberger, K.Q., Slaney, M., Van Zwol, R.: Resolving Tag Ambiguity. In: 16th ACM Conference on Multimedia, pp. 111–120 (2008)

    Google Scholar 

  24. Zhang, L., Wu, X., Yu, Y.: Emergent Semantics from Folksonomies: A Quantitative Study. In: Spaccapietra, S., Aberer, K., Cudré-Mauroux, P. (eds.) Journal on Data Semantics VI. LNCS, vol. 4090, pp. 168–186. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fernández-Tobías, I., Cantador, I., Bellogín, A. (2012). Semantic Disambiguation and Contextualisation of Social Tags. In: Ardissono, L., Kuflik, T. (eds) Advances in User Modeling. UMAP 2011. Lecture Notes in Computer Science, vol 7138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28509-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28509-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28508-0

  • Online ISBN: 978-3-642-28509-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics