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Agent-mediated shared conceptualizations in tagging services

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Abstract

Some of the most remarkable innovative technologies from the Web 2.0 are the collaborative tagging systems. They allow the use of folksonomies as a useful structure for a number of tasks in the social web, such as navigation and knowledge organization. One of the main deficiencies comes from the tagging behaviour of different users which causes semantic heterogeneity in tagging. As a consequence a user cannot benefit from the adequate tagging of others. In order to solve the problem, an agent-based reconciliation knowledge system, based on Formal Concept Analysis, is applied to facilitate the semantic interoperability between personomies. This article describes experiments that focus on conceptual structures produced by the system when it is applied to a collaborative tagging service, Delicious. Results will show the prevalence of shared tags in the sharing of common resources in the reconciliation process.

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Notes

  1. http://sourceforge.net/projects/conexp/

  2. http://jade.tilab.com

  3. A pair of tags are related when both of them tag the same link by the same user.

  4. The set of common tags that both of them use, independent of wether or not these tags have been used in different urls or not.

References

  1. Alonso-Jiménez J-A, Aranda-Corral G-A, Borrego-Díaz J, Ferníndez-Lebrón M-M, Hidalgo-Doblado M-J (2008) Extending attribute exploration by means of boolean derivatives. In: Proc. 6th int. conf. on concept lattices and their applications, CLA-2008, Olomouc, Czech Republic. http://ceur-ws.org/Vol-433/paper10.pdf. Accessed 17 May 2012

  2. Aranda-Corral G-A, Borrego-Díaz J (2010) Reconciling knowledge in social tagging web services (2010). In: Proc. 5th int. conf. hybrid AI systems, HAIS 2010. Springer, Berlin, Heidelberg, pp 383–390

    Google Scholar 

  3. Aranda-Corral G-A, Borrego-Díaz J, Giráldez-Cru J (2012) On the complexity of shared conceptualizations. In: Proc. 11th international conference on artificial intelligence and soft computing, ICAISC 2012. Springer, Berlin, Heidelberg, pp 629–638

    Google Scholar 

  4. Aranda-Corral G-A, Borrego-Díaz J, Giráldez-Cru J (2012) Conceptual-based reasoning in mobile web 2.0 by means of multiagent systems. In: Knowledge engineering notes, proc. 4th int. conf. agents and artificial intelligence ICAART 2012, pp 176–183

  5. Bartolini I, Patella M, Romani C (2011) SHIATSU: tagging and retrieving videos without worries. Multimed Tools Appl pp 1–29. doi:10.1007/s11042-011-0948-1

    Google Scholar 

  6. Blondel V-D, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech Theory Exp 10:1–12. doi:10.1088/1742-5468/2008/10/P10008

    Google Scholar 

  7. Carmel D, Roitman H, Yom-Tov E (2010) Social bookmark weighting for search and recommendation. VLDB J 19(6):761–775

    Article  Google Scholar 

  8. Eklund P-W, Wray T (2010) Social tagging for digital libraries using formal concept analysis. In: Proc. 7th int. conf. on concept lattices and their applications, CLA 2010, Seville, Spain, pp 139–150. http://ceur-ws.org/Vol-672/paper13.pdf. Accessed 17 May 2012

  9. Gal A, Shvaiko P (2008) Advances in ontology matching. In: Advances in web semantics I. Springer, Berlin, Heidelberg, pp 176–198. doi:10.1007/978-3-540-89784-2_6

    Google Scholar 

  10. Ganter B, Wille R (1999) Formal concept analysis - mathematical foundations. Springer, Berling, Heidelberg

    Book  MATH  Google Scholar 

  11. Gligorov R, Hildebrand M, van Ossenbruggen J, Schreiber G, Aroyo L (2011) On the role of user-generated metadata in audio visual collections. In: Proc. 6th international conference on knowledge capture, K-CAP ’11, Banff, Alberta, Canada, pp 145–152. doi:10.1145/1999676.1999702

  12. Golder S, Huberman B-A (2006) The structure of collaborative tagging systems. J Inf Sci 32(2):98–208

    Article  Google Scholar 

  13. Guigues J-L, Duquenne V (1986) Familles minimales d’ implications informatives resultant d’un tableau de donnees binaires. Math Sci Hum 95:5–18

    MathSciNet  Google Scholar 

  14. Halpin H, Robu V, Shepherd H (2007) The complex dynamics of collaborative tagging. In: Proc. 16th int. conf. World Wide Web, WWW ’07, Banff, Alberta, Canada, pp 211–220. doi:10.1145/1242572.1242602

  15. Haslhofer B, Sanderson R, Simon R, van de Sompel H (2012) Open annotations on multimedia Web resources. Multimed Tools Appl pp 1–21. doi:10.1007/s11042-012-1098-9

    MATH  Google Scholar 

  16. Jäschke R (2011) Formal concept analysis and tag recommendation in collaborative tagging systems. IOS Press, Heidelberg

    Google Scholar 

  17. Jäschke R, Hotho A, Schmitz C, Ganter B, Stumme G (2008) Discovering shared conceptualizations in folksonomies. J Web Semantics 6(1):38–53

    Article  Google Scholar 

  18. Jung J-J (2009) Knowledge distribution via shared context between blog-based knowledge management systems: a case study of collaborative tagging. Expert Syst Appl 36(7):10627–10633

    Article  Google Scholar 

  19. Jung J-J (2012) Discovering community of lingual practice for matching multilingual tags from folksonomies. Comput J 55(3):337–346

    Article  Google Scholar 

  20. Kang Y-K, Hwang S-H, Yang K-M (2009) FCA-based conceptual knowledge discovery in Folksonomy, world academy of science. Eng Technol 53:842–846

    Google Scholar 

  21. Lee S, Park J (2011) Topic based photo set retrieval using user annotated tags. Multimed Tools Appl pp 1–20. doi:10.1007/s11042-011-0850-x

    Google Scholar 

  22. Man C, Yeung A, Gibbins N, Shadbolt N (2009) Contextualising tags in collaborative tagging systems. In: Proc. 20th ACM conference on hypertext and hypermedia, Torino, Italy. doi:10.1145/1557914.1557958

  23. Onifade O-F-W, Thiéry O, Osofisan A-O, Duffing G (2010) Fuzzontology: resolving information mining ambiguity in economic intelligent process. Commun Comput Inf Sci 54:232–243

    Article  Google Scholar 

  24. Pammer V, Kump B, Lindstaedt S (2011) Tag-based algorithms can predict human ratings of which objects a picture shows. Multimed Tools Appl 59(2):441–462. doi:10.1007/s11042-011-0761-x

    Article  Google Scholar 

  25. Smith G (2007) Tagging: people-powered metadata for the social web. First New Riders Publishing, Berkeley, CA

    Google Scholar 

  26. Weick K-E, Sutcliffe K-M, Obstfeld, D (2005) Organizing and the process of sensemaking. Organ Sci 16(4):409–421

    Article  Google Scholar 

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Acknowledgements

This work has been supported by TIN2009-09492 and TIN2010-20967-C04-01 projects of Spanish Ministry of Science and Innovation and Excellence project TIC-6064 of Junta de Andalucía cofinanced with FEDER founds.

The authors would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper.

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Correspondence to Gonzalo A. Aranda-Corral.

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Aranda-Corral, G.A., Borrego-Díaz, J. & Giráldez-Cru, J. Agent-mediated shared conceptualizations in tagging services. Multimed Tools Appl 65, 5–28 (2013). https://doi.org/10.1007/s11042-012-1146-5

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