Advertisement

Combining RDF Vocabularies for Expert Finding

  • Boanerges Aleman-Meza
  • Uldis Bojārs
  • Harold Boley
  • John G. Breslin
  • Malgorzata Mochol
  • Lyndon JB Nixon
  • Axel Polleres
  • Anna V. Zhdanova
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4519)

Abstract

This paper presents a framework for the reuse and extension of existing, established vocabularies in the Semantic Web. Driven by the primary application of expert finding, we will explore the reuse of vocabularies that have attracted a considerable user community already (FOAF, SIOC, etc.) or are derived from de facto standards used in tools or industrial practice (such as vCard, iCal and Dublin Core). This focus guarantees direct applicability and low entry barriers, unlike when devising a new ontology from scratch. The Web is already populated with several vocabularies which complement each other (but also have considerable overlap) in that they cover a wide range of necessary features to adequately describe the expert finding domain. Little effort has been made so far to identify and compare existing approaches, and to devise best practices on how to use and extend various vocabularies conjointly. It is the goal of the recently started ExpertFinder initiative to fill this gap. In this paper we present the ExpertFinder framework for reuse and extension of existing vocabularies in the Semantic Web. We provide a practical analysis of overlaps and options for combined use and extensions of several existing vocabularies, as well as a proposal for applying rules and other enabling technologies to the expert finding task.

Keywords

Critical Success Factor Ontology Match Simple Knowledge Organisation System Expert Find Initiative Member 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Aleman-Meza, B., et al.: Semantic Analytics on Social Networks: Experiences in Addressing the Problem of Conflict of Interest Detection. In: 15th Intl. WWWW Conference (2006)Google Scholar
  2. 2.
    Bizer, C., Heese, R., Mochol, M., Oldakowski, R., Tolksdorf, R., Eckstein, R.: The Impact of Semantic Web Technologies on Job Recruitment Processes. In: 7th Internationale Tagung Wirtschaftsinformatik (2005)Google Scholar
  3. 3.
    Bojars, U.: Extending FOAF with Resume Information. In: Proc. of the 1st Workshop on FOAF, Social Networks and the Semantic Web (2004)Google Scholar
  4. 4.
    Boley, H., Tabet, S., Wagner, G.: Design Rationale of RuleML: A Markup Language for Semantic Web Rules. In: Semantic Web Working Symposium, SWWS’01 (2001)Google Scholar
  5. 5.
    Bojars, U.: Extending FOAF with Resume Information. In: 1st Workshop on FOAF, Social Networks and the Semantic Web (2004)Google Scholar
  6. 6.
    Bonatti, P.A., Olmedilla, D.: Semantic web policies: Where are we and what is still missing? Tutorial at 3rd European Semantic Web Conference, ESWC’06 (2006)Google Scholar
  7. 7.
    Breslin, J.G., Harth, A., Bojars, U., Decker, S.: Towards Semantically-Interlinked Online Communities. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 500–514. Springer, Heidelberg (2005)Google Scholar
  8. 8.
    Brickley, D., Miller, L.: Friend of a Friend Vocabulary Specification (2001), http://xmlns.com/foaf/0.1/
  9. 9.
    Dawson, F., Stenerson, D.: Internet Calendaring and Scheduling Core Object Specification, iCalendar (1998), http://www.ietf.org/rfc/rfc2445.txt
  10. 10.
    Eiter, T., Ianni, G., Polleres, A., Schindlauer, R.: Answer set programming for the semantic web. Tutorial at 3rd European Semantic Web Conference, ESWC’06 (2006)Google Scholar
  11. 11.
    AAstrand Grimnes, G., Schwarz, S., Sauermann, L.: RDFHomepage or “Finally, a use for your FOAF file”. In: 2nd Workshop on Scripting for the Semantic Web, SFSW ’06 (2006)Google Scholar
  12. 12.
    Gutierrez, C., Hurtado, C.A., Vaisman, A.A.: Temporal RDF. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 93–107. Springer, Heidelberg (2005)Google Scholar
  13. 13.
    Hepp, M.: Products and Services Ontologies: A Methodology for Deriving OWL Ontologies from Industrial Categorization Standards. Intl. Journal on Semantic Web & Information Systems 2(1), 72–99 (2006)Google Scholar
  14. 14.
    Huynh, D.F., Mazzocchi, S., Karger, D.R.: Piggy Bank: Experience the Semantic Web Inside Your Web Browser. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 413–430. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  15. 15.
    Krötzsch, M., Vrandecić, D., Völkel, M.: Wikipedia and the Semantic Web - The Missing Links. In: Proc. of WikiMania’05 (2005)Google Scholar
  16. 16.
    Kruk, S.R., Decker, S.: Semantic Social Collaborative Filtering with FOAFRealm. In: Semantic Desktop Workshop colocated with Intl. Semantic Web Conference, ISWC’05 (2005)Google Scholar
  17. 17.
    Miles, A., Brickley, D. (eds.): SKOS Core Vocabulary Specification. W3C Working Draft (2 November 2005), http://www.w3.org/TR/swbp-skos-core-spec
  18. 18.
    Mochol, M., Oldakowski, R., Heese, R.: Ontology-based Recruitment Process. In: GI’04 (2004)Google Scholar
  19. 19.
    Patashnik, O.: BIBTeXing (1998)Google Scholar
  20. 20.
    Polleres, A., Feier, C., Harth, A.: Rules with contextually scoped negation. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 332–347. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  21. 21.
    Polleres, A.: SPARQL Rules! Tech. Report (2006), http://www.polleres.net/publications/GIA-TR-2006-11-28.pdf
  22. 22.
    Tolksdorf, R., Mochol, M., Heese, R., Eckstein, R., Oldakowski, R., Bizer, C.: Semantic-Web-Technologien im Arbeitsvermittlungsprozess. Wirtschatfsinformatik: Internetoekonomie 48(1), 17–26 (2006)Google Scholar
  23. 23.
    A versit Consortium. vCard: The Electronic Business Card (1997), http://www.imc.org/pdi/vcardwhite.html
  24. 24.
    Zhdanova, A.V.: An Approach to Ontology Construction and its Application to Community Portals. PhD thesis (2006)Google Scholar
  25. 25.
    Zhdanova, A.V., Shvaiko, P.: Community-Driven Ontology Matching. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 34–49. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  26. 26.
    Li, J., Boley, H., Bhavsar, V.C., Mei, J.: Expert Finding for eCollaboration Using FOAF with RuleML Rules. In: 2006 Conference on eTechnologies, Montreal, Canada (2006)Google Scholar

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Boanerges Aleman-Meza
    • 1
  • Uldis Bojārs
    • 2
  • Harold Boley
    • 3
  • John G. Breslin
    • 2
  • Malgorzata Mochol
    • 4
  • Lyndon JB Nixon
    • 4
  • Axel Polleres
    • 2
    • 5
  • Anna V. Zhdanova
    • 5
  1. 1.LSDIS Lab, University of GeorgiaUSA
  2. 2.DERI, National University of Ireland, Galway 
  3. 3.University of New Brunswick and National Research CouncilCanada
  4. 4.Free University of BerlinGermany
  5. 5.Universidad Rey Juan Carlos, MadridSpain

Personalised recommendations