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Semantic Enhancement of Social Tagging Systems

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Book cover Web 2.0 & Semantic Web

Part of the book series: Annals of Information Systems ((AOIS,volume 6))

Abstract

Social tagging systems have shown an impressive potential for information discovery and exploration. Enriched with Semantic Web technologies, they enable to tap valuable metadata about Web resources and to detect hidden relations, thus, to capture information about both content and context of the resources. In this article, we propose a novel way to combine semantic technologies with Web 2.0 paradigms. We introduce the GroupMe! system, which extends current social tagging systems by giving users more flexibility in organizing and maintaining Web content. In GroupMe!, users can create groups of Web resources they consider relevant by simple drag & drop operations. They can tag and share their groups and Web content with fellow users and benefit from improved search and retrieval capabilities. We evaluate the GroupMe! approach and investigate on the effect of grouping resources for search in tag-based social systems. Our experiments show that the quality of search result ranking can be significantly improved by introducing and exploiting the grouping of resources.

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Notes

  1. 1.

    http://groupme.org

  2. 2.

    http://springframework.org

  3. 3.

    http://script.aculo.us

  4. 4.

    http://getahead.org/dwr

  5. 5.

    http://prototypejs.org

  6. 6.

    http://xmlns.com/foaf/spec/

  7. 7.

    http://groupme.org/rdf/groupme.owl

  8. 8.

    http://dublincore.org/documents/dces/

  9. 9.

    http://aperture.sourceforge.net

  10. 10.

    http://sindice.com

  11. 11.

    http://watson.kmi.open.ac.uk

  12. 12.

    http://swoogle.umbc.edu

  13. 13.

    http://maps.google.com

  14. 14.

    Instead we select, e.g., \({w}_{c}({t}_{g},r) \approx max(\vert \{u \in U : (u,t,r,g) \in \breve{ Y }\}\vert )\) as we believe that grouping a resource is in general more valuable than tagging it.

  15. 15.

    http://del.icio.us

  16. 16.

    http://flickr.com

  17. 17.

    http://last.fm

  18. 18.

    http://www.connotea.org

  19. 19.

    http://research.yahoo.com/taglines

  20. 20.

    http://www.w3.org/2001/sw/

  21. 21.

    http://www.citeulike.org

  22. 22.

    http://www.zoomorama.com

References

  1. Abel, F., Frank, M., Henze, N., Krause, D., Plappert, D., Siehndel, P.: GroupMe! – Where Semantic Web meets Web 2.0. In: Int. Semantic Web Conference (ISWC 2007) (November 2007)

    Google Scholar 

  2. Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: FolkRank: A ranking algorithm for folksonomies. In: Proc. of Workshop on Information Retrieval 2006 of the Special Interest Group Information Retrieval (FGIR 2006), Hildesheim, Germany (October 2006)

    Google Scholar 

  3. Fielding, R.T., Taylor, R.N.: Principled design of the modern web architecture. In: Proc. of the 22nd Int. Conf. on Software Engineering (ICSE ’00), New York, NY, USA, ACM Press (2000) 407–416

    Google Scholar 

  4. Marlow, C., Naaman, M., Boyd, D., Davis, M.: HT06, tagging paper, taxonomy, flickr, academic article, to read. In: Proc. of the 17th Conf. on Hypertext and Hypermedia (HYPERTEXT ’06), New York, NY, USA, ACM Press (2006) 31–40

    Google Scholar 

  5. Vander Wal, T.: Folksonomy. http://vanderwal.net/folksonomy.html (July 2007)

  6. Vander Wal, T.: Explaining and showing broad and narrow folksonomies. http://www.personalinfocloud.com/2005/02/explaining_and_.html (February 2005)

  7. Halpin, H., Robu, V., Shepherd, H.: The complex dynamics of collaborative tagging. In: Proc. of 16th Int. World Wide Web Conference (WWW ’07), New York, NY, USA, ACM Press (2007) 211–220

    Google Scholar 

  8. Mika, P.: Ontologies are us: A unified model of social networks and semantics. In: Proc. Int. Semantic Web Conference (ISWC 2005). (November 2005) 522–536

    Google Scholar 

  9. Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: BibSonomy: A social bookmark and publication sharing system. In : de Moor, A., Polovina, S., Delugach, H., eds.: Proc. First Conceptual Structures Tool Interoperability Workshop, Aalborg (2006) 87–102

    Google Scholar 

  10. Wu, X., Zhang, L., Yu, Y.: Exploring social annotations for the Semantic Web. In: Proc. of 15th Int. World Wide Web Conference (WWW ’06), New York, NY, USA, ACM Press (2006) 417–426

    Google Scholar 

  11. Brickley, D., Miles, A.: SKOS Core Vocabulary Specification. W3C working draft, W3C (November 2005) http://www.w3.org/TR/swbp-skos-core-spec

  12. Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank citation ranking: Bringing Order to the Web. Technical report, Stanford Digital Library Technologies Project (1998)

    Google Scholar 

  13. Abel, F., Henze, N., Krause, D.: A Novel Approach to Social Tagging: GroupMe! In: 4th Int. Conf. on Web Information Systems and Technologies (WEBIST). (May 2008)

    Google Scholar 

  14. Haveliwala, T.H.: Topic-sensitive PageRank: A context-sensitive ranking algorithm for Web search. IEEE Transactions on Knowledge and Data Engineering 15(4) (2003) 784–796

    Article  Google Scholar 

  15. O’Reily, T.: What is web 2.0? – design patterns and business models for the next generation of software (September 2005)

    Google Scholar 

  16. Kerne, A., Koh, E., Dworaczyk, B., Mistrot, J.M., Choi, H., Smith, S.M., Graeber, R., Caruso, D., Webb, A., Hill, R., Albea, J.: combinFormation: A mixed-initiative system for representing collections as compositions of image and text surrogates. In: Proc. of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2006), Chapel Hill, NC, USA, ACM Press (June 2006) 11–20

    Google Scholar 

  17. Merholz, P.: Metadata for the masses. Adaptive Path (October 2004)

    Google Scholar 

  18. Dubinko, M., Kumar, R., Magnani, J., Novak, J., Raghavan, P., Tomkins, A.: Visualizing tags over time. In: Proc. of 15th Int. World Wide Web Conference (WWW ’06), New York, NY, USA, ACM Press (2006) 193–202

    Google Scholar 

  19. Marlow, C., Naaman, M., Boyd, D., Davis, M.: Position Paper, Tagging, Taxonomy, Flickr, Article, ToRead. In: Collaborative Web Tagging Workshop at WWW ’06. (May 2006)

    Google Scholar 

  20. Bao, S., Xue, G., Wu, X., Yu, Y., Fei, B., Su, Z.: Optimizing Web search using social annotations. In: Proc. of 16th Int. World Wide Web Conference (WWW ’07), New York, NY, USA, ACM Press (2007) 501–510

    Google Scholar 

  21. Jeh, G., Widom, J.: SimRank: A measure of structural-context similarity. In: Proc. of Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD), Edmonton, Alberta, Canada, ACM Press (July 2002)

    Google Scholar 

  22. Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: Emergent Semantics in BibSonomy. In Hochberger, C., Liskowsky, R., eds.: Informatik 2006: Informatik für Menschen. Volume 94(2) of LNI., Bonn, GI (October 2006)

    Google Scholar 

  23. Rattenbury, T., Good, N., Naaman, M.: Towards automatic extraction of event and place semantics from flickr tags. In: Proc. of the 30th Int. ACM SIGIR Conf. on Information Retrieval (SIRIR ’07), New York, NY, USA, ACM Press (2007) 103–110

    Google Scholar 

  24. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5) (2001) 34–43

    Article  Google Scholar 

  25. Naaman, M.: The Semantic Web is dead. In: Panel Discussion: The Role of Multimedia Metadata Standards in a (Semantic) Web 3.0, 16th Int. World Wide Web Conference (WWW ’07). (May 2007)

    Google Scholar 

  26. Ankolekar, A., Krötzsch, M., Tran, T., Vrandecic, D.: The two cultures: Mashing up Web 2.0 and the Semantic Web. In: Proc. of 16th Int. World Wide Web Conference (WWW ’07), New York, NY, USA, ACM Press (2007) 825–834

    Google Scholar 

  27. Berners-Lee, T.: Linked Data – design issues. Technical report, W3C (May 2007) http://www.w3.org/DesignIssues/LinkedData.html

  28. Brickley, D., Miller, L.: FOAF Vocabulary Specification 0.91. Namespace document, FOAF Project (November 2007) http://xmlns.com/foaf/0.1/

  29. Oren, E., Völkel, M., Breslin, J.G., Decker, S.: Semantic Wikis for personal knowledge management. In: Bressan, S., Küng, J., Wagner, R., eds.: Proc. of the 17th Int. Conf. on Database and Expert Systems Applications (DEXA 2006). Volume 4080 of LNCS., Kraków, Poland, Springer (September 2006) 509–518

    Google Scholar 

  30. Cayzer, S.: Semantic blogging and decentralized knowledge management. Commun. ACM 47(12) (December 2004) 47–52

    Article  Google Scholar 

  31. Cimiano, P., Pivk, A., Schmidt-Thieme, L., Staab, S.: Learning taxonomic relations from heterogeneous sources of evidence. In: Ontology Learning from Text: Methods, Evaluation and Applications. Frontiers in AI. IOS Press (2005) 59–73

    Google Scholar 

  32. Michlmayr, E., Cayzer, S.: Learning user profiles from tagging data and leveraging them for personal(ized) information access. In: Proc. of the Workshop on Tagging and Metadata for Social Information Organization, 16th Int. World Wide Web Conference (WWW ’07). (May 2007)

    Google Scholar 

  33. Michlmayr, E., Cayzer, S., Shabajee, P.: Add-A-Tag: Learning Adaptive user profiles from bookmark collections. In: Proc. of the 1st Int. Conf. on Weblogs and Social Media (ICWSM ’06). (March 2007)

    Google Scholar 

  34. Firan, C.S., Nejdl, W., Paiu, R.: The benefit of using tag-based profiles. In: Proc. of the 2007 Latin American Web Conference (LA-WEB 2007), Washington, DC, USA, IEEE Computer Society (2007) 32–41

    Google Scholar 

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Acknowledgements

We thank Nicole Ullmann, Mischa Frank, Daniel Plappert, Patrick Siehndel, and Zhivko Asenov for their contribution and engagement in realizing the GroupMe! system.

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Authors and Affiliations

  1. IVS – Semantic Web Group, Leibniz University Hannover, Appelstr. 4, D-30167, Hannover, Germany

    Fabian Abel, Nicola Henze & Daniel Krause

  2. Department of Mathematics, University of Hamburg, Bundesstraße 55, D-20146, Hamburg, Germany

    Matthias Kriesell

Authors
  1. Fabian Abel
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  2. Nicola Henze
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  3. Daniel Krause
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  4. Matthias Kriesell
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Correspondence to Fabian Abel .

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Editors and Affiliations

  1. School of Business Administration, University of Belgrade, Jove Ilica 154, Belgrade, 11000, Serbia

    Vladan Devedžić

  2. School of Computing &, Athabasca University, University Drive 1, Athabasca, T9S 3A3, Canada

    Dragan Gaševic

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Abel, F., Henze, N., Krause, D., Kriesell, M. (2010). Semantic Enhancement of Social Tagging Systems. In: Devedžić, V., Gaševic, D. (eds) Web 2.0 & Semantic Web. Annals of Information Systems, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1219-0_2

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  • DOI: https://doi.org/10.1007/978-1-4419-1219-0_2

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