Advertisement

Semantic Need: Guiding Metadata Annotations by Questions People #ask

  • Hans-Jörg Happel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6496)

Abstract

In its core, the Semantic Web is about the creation, collection and interlinking of metadata on which agents can perform tasks for human users. While many tools and approaches support either the creation or usage of semantic metadata, there is neither a proper notion of metadata need, nor a related theory of guidance which metadata should be created. In this paper, we propose to analyze structured queries to help identifying missing metadata. We conduct a study on Semantic MediaWiki (SMW), one of the most popular Semantic Web applications to date, analyzing structured “ask”-queries in public SMW instances. Based on that, we describe Semantic Need, an extension for SMW which guides contributors to provide semantic annotations, and summarize feedback from an online survey among 30 experienced SMW users.

Keywords

Semantic Annotation Conjunctive Query Structure Query Semantic Metadata Open World Assumption 
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.
    Ackerman, M.S., Malone, T.W.: Answer garden: a tool for growing organizational memory. In: Proceedings of the ACM SIGOIS Conference on Office Information Systems, pp. 31–39. ACM, New York (1990)CrossRefGoogle Scholar
  2. 2.
    Baader, F., Nutt, W.: Basic description logics. In: Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F. (eds.) Description Logic Handbook, pp. 43–95. Cambridge University Press, Cambridge (2003)Google Scholar
  3. 3.
    Berners-Lee, T., Hendler, J., Lassila, O.: The semantic Web. Scientific American 284(5), 34–43 (2001)CrossRefGoogle Scholar
  4. 4.
    Bizer, C., Cyganiak, R.: D2r server-publishing relational databases on the semantic web (poster). In: International Semantic Web Conference (2006)Google Scholar
  5. 5.
    Braun, S., Schmidt, A., Walter, A., Nagypal, G., Zacharias, V.: Ontology maturing: a collaborative web 2.0 approach to ontology engineering. In: Proceedings of the Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007), CEUR Workshop Proceedings, vol. 273 (2007)Google Scholar
  6. 6.
    Decker, S.: Semantic web methods for knowledge management. Ph.D. thesis, University of Karlsruhe (2002)Google Scholar
  7. 7.
    Decker, S., Jannink, J., Melnik, S., Mitra, P., Staab, S., Studer, R., Wiederhold, G.: An information food chain for advanced applications on the www. In: Borbinha, J.L., Baker, T. (eds.) ECDL 2000. LNCS, vol. 1923, pp. 490–493. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  8. 8.
    Handschuh, S.: Creating ontology-based metadata by annotation for the semantic web. Ph.D. thesis, University of Karlsruhe (2005)Google Scholar
  9. 9.
    Happel, H.J.: Growing the semantic web with inverse semantic search. In: 1st Workshop on Incentives for the Semantic Web (INSEMTIVE 2008), pp. 1–12 (2008)Google Scholar
  10. 10.
    Happel, H.J.: Social search and need-driven knowledge sharing in wikis with woogle. In: Proceedings of the 5th International Symposium on Wikis and Open Collaboration, WikiSym 2009, pp. 1–10. ACM, New York (2009)Google Scholar
  11. 11.
    Happel, H.J.: Towards need-driven knowledge sharing in distributed teams. In: Proceedings of the 9th International Conference on Knowledge Management, pp. 128–139. JUCS (2009)Google Scholar
  12. 12.
    Happel, H.J.: Semantic need: An approach for guiding users contributing metadata to the semantic web. Int. J. Knowledge Engineering and Data Mining (to appear, 2010)Google Scholar
  13. 13.
    Happel, H.J., Mazarakis, A.: Considering information providers in social search. In: Proceedings of the 2nd International Workshop on Collaborative Information Seeking (CIS 2010), pp. 1–5 (2010)Google Scholar
  14. 14.
    Hitzler, P., Krötzsch, M., Rudolph, S.: Foundations of Semantic Web Technologies. Chapman & Hall/CRC (2009)Google Scholar
  15. 15.
    Mika, P., Meij, E., Zaragoza, H.: Investigating the semantic gap through query log analysis. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 441–455. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  16. 16.
    Prud’Hommeaux, E., Seaborne, A.: SPARQL query language for RDF. World Wide Web Consortium, Recommendation REC-rdf-sparql-query-20080115 (January 2008)Google Scholar
  17. 17.
    Siorpaes, K., Hepp, M.: Ontogame: weaving the semantic web by online games. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 751–766. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  18. 18.
    Wrigley, S.N., Reinhard, D., Elbedweihy, K., Bernstein, A., Ciravegna, F.: Methodology and Campaign Design for the Evaluation of Semantic Search Tools. In: Proceedings of the Semantic Search 2010 Workshop, SemSearch 2010 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hans-Jörg Happel
    • 1
  1. 1.FZI Research Center for Information TechnologyKarlsruheGermany

Personalised recommendations