Abstract
We present an intelligent information agent that uses semantic methods and natural language processing capabilites in order to gather tourist information from the WWW and present it to the human user in an intuitive, user-friendly way. Thereby, the information agent is designed such that as background knowledge and linguistic coverage increase, its benefits improve, while it guarantees state-of-the-art information and database retrieval capabilities as its bottom line.
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L. Ahrenberg, N. Dahlbäck, A. Jönnson, and A. Thure. Customizing interaction for natural language interfaces. Computer and Information Science, 1(1), 1996.
J.L Austin. How to Do Things with Words. Oxford University Press, 1962.
J.P. Ballerini, M. Büchel, D. Knaus, B. Mateev, M. Mittendorf, P. Schäuble, P. Sheridan, and M. Wechsler. SPIDER retrieval system at TREC 5. In Proc. of TREC-5, 1996. http://wwwnlpir. nist.gov/pubs.
C.M. Bowman, P.B. Danzig, R.D. Hardy, U. Manber, and M.F. Schwartz. The harvest information discovery and access systems. Networks and ISDN Systems, 1995. http://ftp.cs.colorado.edu/pub/cs/techreports/schwartz/Harvest.Conf.ps.Z.
P. Buitelaar, K. Netter, and F. Xu. Integrating different strategies for cross-language information retrieval in the MIETTA project. In D. Hiemstra, F. de Jong, and K. Netter, editors, Language Technology in Multimedia Information Retrieval. Proc. of the 14th Twente Workshop on Language Technology, TWLT 14, pages 9–17. Universiteit Twente, Enschede, 1998.
J. Capstick, A.K. Diagne, G. Erbach, H. Uszkoreit, F. Cagno, G. Gadaleta, J.A. Hernandez, R. Korte, A. Leisenberg, M. Leisenberg, and O. Christ. MULINEX:Multilingual web search and navigation. In Proc. of Natural Language Processing and Industrial Applicatons, 1998.
S. Decker, M. Erdmann, D. Fensel, and R. Studer. Ontobroker: Ontology based access to distributed and semi-structured information. In R. Meersman et al, editor, Database Semantics, Semantic Issues in Multimedia Systems, pages 351–369.Kluwer, Boston, MA, 1999.
H. Eriksson, Y. Shahar, S.W. Tu, A.R. Puerta, and Mark A. Musen. Task modeling with reusable problem-solving methods. Artificial Intelligence, 79(2):293–326, 1995.
D. Fensel, S. Decker, M. Erdmann, and R. Studer. Ontobroker: The very high idea. In Proceedings of the 11th International Flairs Conference, 1998.
B. Grosz, D. Appelt, P. Martin, and F. Pereira. Team: An experiment in the design of transportable natural-language interfaces. Artificial Intelligence, 32(2):173–243, 1987.
U. Hahn, M. Romacker, and S. Schulz. How knowledge drives understanding: Matching medical ontologies with the needs of medical language processing. AI in Medicine, 15(1):25–51, 1999.
Andreas Heuer and Denny Priebe. IRQL — Yet another language for querying semistructured data? Preprint CS-01-99, Universität Rostock, Fachbereich Informatik, 1999.
A. Heyer, H. Meyer, A. Düsterhöft, and U. Langer. SWING: Der Anfrage-und Suchdienst des Regionalen Informationssystems MV-Info. In Tagungsband IuK-Tage Mecklenburg-Vorpommern. Schwerin, 27./28. Juni 1997, 1997.
J. Lamping and R. Rao. The hyperbolic browser: A focus + context technique for visualizing large hierarchies. Journal of Visual Languages & Computing, 7, 1996.
D. McGuinness and P. Patel-Schneider. Usability issues in knowledge representation systems. In Proc. of AAAI-98, pages 608–614, 1998.
G. Neumann, R. Backofen, J. Baur, M. Becker, and C. Braun. 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, March 1997.
G. Neumann and G. Mazzini. Domain-adaptive information extraction. Technical report, DFKI, Saarbrücken, November 1998.
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Staab, S. et al. (1999). GETESS—Searching the Web Exploiting German Texts. In: Klusch, M., Shehory, O.M., Weiss, G. (eds) Cooperative Information Agents III. CIA 1999. Lecture Notes in Computer Science(), vol 1652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48414-0_7
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DOI: https://doi.org/10.1007/3-540-48414-0_7
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