Publikation

GETESS: Constructing a Linguistic Search Index for an Internet Search Engine

Ilvio Bruder, Antje Düsterhöft, Markus Becker, Jochen Bedersdorfer, Günter Neumann

In: Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems. International Conference on Applications of Natural Language to Information Systems (NLDB-00) Versailles France 2000.

Abstrakt

In this paper we illustrate how Internet documents can be automatically analyzed in order to capture the content of a document in a more detailed way than usually. The result of the document analysis is called abstract and will be used as a linguistic search index for the Internet search engine GETESS. We show how the linguistic analysis system SMES can be used for a Harvest based search engine for constructing a linguistic search index. Further, we denote how the linguistic index can be exploited for answeringuser search inqueries.

Weitere Links

nldb-ohne.ps.gz (gz, 109 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence