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A system for facilitating and enhancing web search

  • Steffen Staab
  • Christian Braun
  • Ilvio Bruder
  • Antje Düsterhöft
  • Andreas Heuer
  • Meike Klettke
  • Günter Neumann
  • Bernd Prager
  • Jan Pretzel
  • Hans-Peter Schnurr
  • Rudi Studer
  • Hans Uszkoreit
  • Burkhard Wrenger
Engeneering Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1607)

Abstract

We present a system that uses semantic methods and natural language processing capabilites in order to provide comprehensive and easy-to-use access to tourist information in the WWW. Thereby, the system is designed such that as background knowledge and linguistic coverage increase, the benefits of the system improve, while it guarantees state-of-the-art information and database retrieval capabilities as its bottom line.

Keywords

Natural Language Information Retrieval Natural Language Processing Dialogue System Formal 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.

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References

  1. Ahrenberg, L., Dahlbäck, N., Jönnson, A., & Thure, A. (1996). Customizing interaction for natural language interfaces. Computer and Information Science, 1(1).Google Scholar
  2. Austin, J. (1962). How to Do Things with Words. Oxford University Press.Google Scholar
  3. Ballerini, J., Büchel, M., Knaus, D., Mateev, B., Mittendorf, M., Schäuble, P., Sheridan, P., & Wechsler, M. (1996). SPIDER retrieval system at TREC 5. In Proc. of TREC-5. Gaithersburg, maryland, November 20–22, 1996. http://www-nlpir.nist.gov/pubs.Google Scholar
  4. Bowman, C., Danzig, P., Hardy, R., Manber, U., & Schwartz, M. (1995). The harvest information discovery and access systems. Networks and ISDN Systems. http://ftp.cs.colorado.edu/pub/cs/techreports/schwartz/Harvest.Conf.ps.Z.Google Scholar
  5. Buitclaar, P., Netter, K., & Xu, F. (1998). Integrating different strategies for cross-language information retrieval in the MIETTA project. In Hiemstra, D., de Jong, F., & Netter, K. (Eds.), Language Technology in Multimedia Information Retrieval. Proceedings of the 14th Twente Workshop on Language Technology, TWLT 14, pages 9–17. Universiteit Twente, Enschede.Google Scholar
  6. Capstick, J., Diagne, A. K., Erbach, G., Uszkoreit, H., Cagno, F., Gadaleta, G., Hernandez, J. A., Korte, R., Leisenberg, A., Leisenberg, M., & Christ, O. (1998). MULINEX: Multilingual web search and navigation. In Proceedings of Natural Language Processing and Industrial Applicatons.Google Scholar
  7. Fensel, D., Decker, S., Erdmann, M., & Studer, R. (1998). Ontobroker: The very high idea. In FLAIRS-98: Proceedings of the 11 th International Flairs Conference, Sanibal Island, Florida, May 1998.Google Scholar
  8. Grosz, B., Appelt, D., Martin, P., & Pereira, F. (1987). Teain: An experiment in the design of transportable natural-language interfaces. Artificial Intelligence, 32(2):173–243.CrossRefGoogle Scholar
  9. Hahn, U., Romacker, M., & Schulz, S. (1999). How knowledge drives understanding: Matching medical ontologies with the needs of medical language processing. AI in Medicine, 15(1):25–51.Google Scholar
  10. Heyer, A., Meyer, H., Düsterhöft, A., & Langer, U. (1997). SWING: Der Anfrage-und Suchdienst des Regionalen Informationssystems MV-Info. In Tagungsband IuK-Tage Mecklenburg-Vorpommern. Schwerin, 27./28. Juni 1997.Google Scholar
  11. Lamping, J. & Rao, R. (1996). The hyperbolic browser: A focus+context technique for visualizing large hierarchies. Journal of Visual Languages & Computing, 7.Google Scholar
  12. McGuinness, D. & Patel-Schneider, P. (1998). Usability issues in knowledge representation systems. In Proc. of AAAI-98, pages 608–614.Google Scholar
  13. Neumann, G., Backofen, R., Baur, J., Becker, M., & Braun, C. (1997). An information extraction core system for real world german text processing. In 5th International Conference of Applied Natural Language Processing, pages 208–215, Washington, USA.Google Scholar
  14. Neumann, G. & Mazzini, G. (1998). Domain-adaptive information extraction. Technical report, DFKI, Saarbrücken.Google Scholar
  15. Wahlster, W., Jameson, A., & Hoeppner, W. (1978). Glancing, referring and explaining in the dialogue system HAM-RPM. American Journal of Computational Linguistics, pages 53–67.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Steffen Staab
    • 1
  • Christian Braun
    • 2
  • Ilvio Bruder
    • 3
  • Antje Düsterhöft
    • 4
  • Andreas Heuer
    • 4
  • Meike Klettke
    • 4
  • Günter Neumann
    • 2
  • Bernd Prager
    • 3
  • Jan Pretzel
    • 3
  • Hans-Peter Schnurr
    • 1
  • Rudi Studer
    • 1
  • Hans Uszkoreit
    • 2
  • Burkhard Wrenger
    • 3
  1. 1.AIFBUniv. KarlsruheKarlsruhe
  2. 2.DFKISaarbrücken
  3. 3.GECKO mbHRostock
  4. 4.Informatik, Univ. RostockRostockGermary

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