Abstract
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 manner than usual. The result of the document analysis is called an abstract, and will it be used as a linguistic search index for the Internet search engine, GETESS. We show how the linguistic analysis system SMES can be used with 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 inquiries.
Cite
CITATION STYLE
Bruder, I., Düsterhöft, A., Becker, M., Bedersdorfer, J., & Neumann, G. (2001). GETESS: Constructing a linguistic search index for an internet search engine. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1959, pp. 227–238). Springer Verlag. https://doi.org/10.1007/3-540-45399-7_19
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