Ontology-Based Interpretation of Keywords for Semantic Search

  • Thanh Tran
  • Philipp Cimiano
  • Sebastian Rudolph
  • Rudi Studer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4825)


Current information retrieval (IR) approaches do not formally capture the explicit meaning of a keyword query but provide a comfortable way for the user to specify information needs on the basis of keywords. Ontology-based approaches allow for sophisticated semantic search but impose a query syntax more difficult to handle. In this paper, we present an approach for translating keyword queries to DL conjunctive queries using background knowledge available in ontologies. We present an implementation which shows that this interpretation of keywords can then be used for both exploration of asserted knowledge and for a semantics-based declarative query answering process. We also present an evaluation of our system and a discussion of the limitations of the approach with respect to our underlying assumptions which directly points to issues for future work.


Mental Model Keyword Query Conjunctive Query Formal Query System Query 
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.


  1. 1.
    Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. Addison-Wesley, Reading (1999)Google Scholar
  2. 2.
    Stojanovic, N., Studer, R., Stojanovic, L.: An approach for step-by-step query refinement in the ontology-based information retrieval. In: Proceedings of the IEEE/ACM Web Intelligence Conference (WI), pp. 120–137. ACM Press, New York (2004)Google Scholar
  3. 3.
    Lopez, V., Pasin, M., Motta, E.: Aqualog: An ontology-portable question answering system for the semantic web. In: Gómez-Pérez, A., Euzenat, J. (eds.) ESWC 2005. LNCS, vol. 3532, pp. 546–562. Springer, Heidelberg (2005)Google Scholar
  4. 4.
    Cimiano, P., Haase, P., Heizmann, J.: Porting natural language interfaces between domains – a case study with the ORAKEL system –. In: Proceedings of the International Conference on Intelligent User Interfaces (IUI), pp. 180–189 (2007)Google Scholar
  5. 5.
    Popescu, A., Etzioni, O., Kautz, H.: Towards a theory of natural language interfaces to databases. In: IUI 2003. Proceedings of the International Conference on Intelligent User Interfaces, pp. 149–157 (2003)Google Scholar
  6. 6.
    Lei, Y., Uren, V., Motta, E.: Semsearch: A search engine for the semantic web. In: Staab, S., Svátek, V. (eds.) EKAW 2006. LNCS (LNAI), vol. 4248, pp. 238–245. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  7. 7.
    Bernstein, A., Kaufmann, E.: GINO – a guided input natural language ontology editor. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 144–157. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  8. 8.
    Li, Y., Yang, H., Jagadish, H.: NaLIX: An interactive natural language interface for querying xml. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp. 900–902. ACM Press, New York (2005)CrossRefGoogle Scholar
  9. 9.
    Royo, J., Mena, E., Bernard, J., Illarramendi, A.: Searching the web: From keywords to semantic queries. In: ICITA 2005. Proceedings of the Third International Conference on Information Technology and Applications, pp. 244–249. IEEE Computer Society Press, Los Alamitos, CA, USA (2005)Google Scholar
  10. 10.
    Clarke, C., Cormack, G., Tudhope, E.: Relevance ranking for one to three term queries. Information Processing and Management 36, 291–311 (2000)CrossRefGoogle Scholar
  11. 11.
    Sure, Y., Bloehdorn, S., Haase, P., Hartmann, J., Oberle, D.: The swrc ontology - semantic web for research communities. In: Bento, C., Cardoso, A., Dias, G. (eds.) EPIA 2005. LNCS (LNAI), vol. 3808, pp. 218–231. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  12. 12.
    Fellbaum, C.: WordNet, an electronic lexical database. MIT Press, Cambridge (1998)zbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Thanh Tran
    • 1
  • Philipp Cimiano
    • 1
  • Sebastian Rudolph
    • 1
  • Rudi Studer
    • 1
  1. 1.Institute AIFB, Universität KarlsruheGermany

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