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Using a Network Analysis Approach for Organizing Social Bookmarking Tags and Enabling Web Content Discovery

Published: 01 October 2012 Publication History

Abstract

This article describes an innovative approach to reorganizing the tag space generated by social bookmarking services. The objective of this work is to enable effective search and discovery of Web content using social bookmarking tags. Tags are metadata generated by users for Web content annotation. Their potential as effective Web search and discovery tool is hindered by challenges such as, the tag space being untidy due to ambiguity, and hidden or implicit semantics. Using a novel analytics approach, we conducted network analyses on tags and discovered that tags are generated for different purposes and that there are inherent relationships among tags. Our approach can be used to extract the purposes of tags and relationships among the tags and this information can be used as facets to add structure and hierarchy to reorganize the flat tag space. The semantics of relationships and hierarchy in our proposed faceted model of tags enable searches on annotated Web content in an effective manner. We describe the implementation of a prototype system called FASTS to demonstrate feasibility and effectiveness of our approach.

References

[1]
Angeletou, S., Sabou, M., Specia, L., and Motta, E. 2007. Bridging the gap between folksonomies and the semantic Web: An experience report. In Proceedings of the International Workshop at the 4th European Semantic Web Conference. 30--43.
[2]
Angeletou, S., Sabou, M., and Motta, E. 2008. Semantically enriching folksonomies with FLOR. In Proceedings of the 1st International Workshop on Collective Semantics: Collective Intelligence & the Semantic Web (CISWeb), European Semantic Web Conference. 65--79.
[3]
Arrington, M. 2008. Delicious integrated into Yahoo search results. http://techcrunch.com/2008/01/19/delicious-integrated-into-yahoo-search-results/.
[4]
Batagelj, V. and Zaversnik, M. 2002. Generalized cores. http://arxiv.org/abs/cs.DS/0202039.
[5]
Begelman, G., Keller, P., and Smadja, F. 2006. Automated tag clustering: Improving search and exploration in the tag space. In Proceedings of the Collaborative Web Tagging Workshop at the International Conference on the World Wide Web (WWW).
[6]
Boratto, L., Salvatore, E., and Eloisa, V. 2009. RATC: A robust automated tag clustering technique. In Proceedings of the International Conference on E-Commerce and Web Technologies. 324--335.
[7]
Borgatti, S. P., Everett, M. G., and Freeman, L. C. 2002. Ucinet for Windows: Software for Social Network Analysis. Analytic Technologies, Harvard, MA.
[8]
Broughton, V. 2001. Faceted classification as a basis for knowledge organization in a digital environment; the Bliss Bibliographic Classification as a model for vocabulary management and the creation of multidimensional knowledge structures. New Rev. Hypermedia Multimedia 7, 1, 67--102.
[9]
Chaffin, R., Herrmann, D. J., and Winston, M. 1988. An empirical taxonomy of part-whole relations: Effects of part-whole relation type on relation identification. Lang. Cog. Proc. 3, 1, 17--48.
[10]
English, J., Hearst, M., Sinha, R., Swearingen, K., and Yee, P. 2002. Hierarchical faceted metadata in site search interfaces. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI).
[11]
Fishkin, R. 2007. The search engine that’s already better than Google. http://www.seomoz.org/blog/the-search-engine-thats-already-better-than-google.
[12]
Golder, S. and Huberman, B. A. 2005. The structure of collaborative tagging systems. J. Inform. Science 32, 2, 198--208.
[13]
Hearst, M. 2006. Design recommendation for hierarchical faceted search interfaces. In Proceedings of the ACM SIGIR Workshop on Faceted Search.
[14]
Hearst, M. 2008. UIs for faceted navigation: Recent advances and remaining open problems. In Proceedings of the Workshop on Human-Computer Interaction and Information Retrieval (HCIR).
[15]
Hearst, M., Elliott, A., English, J., Sinha, R., Swearingen, K., and Yee K. 2002. Finding the flow in Web site search. Comm. ACM 45, 9, 42--49.
[16]
Krotzsch, M., Vrandecic, D., Volkel, M., Haller, H., and Studer, R. 2007. Semantic Wiki. J. Web Semantics: Sci., Serv. Agents W. W. W. 5, 4, 251--261.
[17]
Marlow, C., Naaman, M., Boyd, D., and Davis, M. 2006. HT06, tagging paper, taxonomy, Flickr, academic article, to read. In Proceedings of the 17th Conference on Hypertext and Hypermedia. 31--40.
[18]
Mika, P. 2007. Ontologies are us: A unified model of social networks and semantics. J. Web Semantics 5, 1, 5--15.
[19]
Porter, J. 2005. Structured blogging: Who is benefiting and how? http://bokardo.com/archives/structured-blogging-who-is-benefitting-and-how/.
[20]
Prieto-Diaz, R. 1991. Implementing faceted classification for software reuse. Comm. ACM 34, 5, 88--97.
[21]
Ram, S. and Wei, W. 2010a. FASTS: Facets structured tag space-a novel approach to organize and reuse social bookmarking tags. In Proceedings of the 5th International Conference on Design Science Research in Information Systems and Technology (DESRIST). 426--438.
[22]
Ram, S. and Wei, W. 2010b. Organizing social bookmarking tags using a network analysis approach. In Proceedings of the 20th Annual Workshop on Information Technology and Systems.
[23]
Rappoport, A. 2004. Library catalogs and faceted metadata search/browse. http://www.searchtools.com/slides/il2004/faceted.html.
[24]
Ruhnau, B. 2000. Eigenvector-centrality---a node-centrality? Soc. Netw. 22, 4, 357--365.
[25]
Schmitz, C., Hotho, A., Jaeschke, R., and Stumme, G. 2006. Mining association rules in folksonomies. studies in classification, data analysis, and knowledge organization. In Proceedings of the IFCS Conference: Data Science and Classification. 261--270.
[26]
Seidman, S. B. 1983. Network structure and minimum degree. Soc. Netw. 5, 3, 269--287.
[27]
Specia, L. and Motta, E. 2007. Integrating folksonomies with the Semantic Web. In Proceedings of 4th European Semantic Web Conference. 624--639.
[28]
Strohmaier, M. 2008. Purpose tagging: Capturing user intent to assist goal-oriented social search. In Proceedings of the ACM Workshop on Search in Social Media. 35--42.
[29]
Ward, J. H. 1963. Hierarchical grouping to optimize an objective function. J. Amer, Statis. Assoc. 58, 301, 236--244.
[30]
Wasserman, S. and Faust, K. 1994. Social Network Analysis Methods and Applications. Cambridge University Press, Cambridge, UK.
[31]
Wu, H., Zubair, M., and Kurt, M. 2006. Harvesting social knowledge from folksonomies. In Proceedings of the 17th Conference on Hypertext and Hypermedia.
[32]
Yang, J., Matsuo, Y., and Ishizzuka, M. 2007. An augmented tagging scheme with triple tagging and collective filtering. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence. 35--38.
[33]
Yee, K.-P., Swearingen, K., Li, K., and Hearst, M. 2003. Faceted metadata for image search and browsing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 401--408.
[34]
Yeung, C.-M. A., Gibbins, N., and Shadbolt, N. 2007. Tag meaning disambiguation through analysis of tripartite structure of folksonomies. In Proceedings of the IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

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  1. Using a Network Analysis Approach for Organizing Social Bookmarking Tags and Enabling Web Content Discovery

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      cover image ACM Transactions on Management Information Systems
      ACM Transactions on Management Information Systems  Volume 3, Issue 3
      October 2012
      115 pages
      ISSN:2158-656X
      EISSN:2158-6578
      DOI:10.1145/2361256
      Issue’s Table of Contents
      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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      Publication History

      Published: 01 October 2012
      Accepted: 01 August 2012
      Revised: 01 August 2012
      Received: 01 April 2011
      Published in TMIS Volume 3, Issue 3

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      Author Tags

      1. Social bookmarking
      2. content discovery
      3. facets
      4. tags

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      • (2014)Distributed $k$ -Core View Materialization and Maintenance for Large Dynamic GraphsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2013.229791826:10(2439-2452)Online publication date: Oct-2014
      • (2013)A Random Walk Model for Item Recommendation in Social Tagging SystemsACM Transactions on Management Information Systems10.1145/24908604:2(1-24)Online publication date: 1-Aug-2013
      • (2013)Bayesian Inference in Trust NetworksACM Transactions on Management Information Systems10.1145/24897904:2(1-21)Online publication date: 1-Aug-2013

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