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

Ilvio Bruder, Günter Neumann, Jochen Bedersdorfer, Markus Becker

In: Mokrane Bouzeghoub , Zoubida Kedad , Elisabeth Metais (Hrsg.). Natural Language Processing and Information Systems. Seiten 227-238 Lecture Notes in Computer Science (LNCS) 1959 ISBN 978-3-540-41943-3 Springer Berlin 2001.


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 answering user search inqueries.

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence