Assessing thesaurus-based annotations for semantic search applications
by Kai Eckert, Magnus Pfeffer, Heiner Stuckenschmidt
International Journal of Metadata, Semantics and Ontologies (IJMSO), Vol. 3, No. 1, 2008

Abstract: Statistical methods for automated document indexing are becoming an alternative to the manual assignment of keywords. We argue that the quality of the thesaurus used as a basis for indexing in regard to its ability to adequately cover the contents to be indexed and as a basis for the specific indexing method used is of crucial importance in automatic indexing. We present an interactive tool for thesaurus evaluation that is based on a combination of statistical measures and appropriate visualisation techniques that supports the detection of potential problems in a thesaurus. We describe the methods used and show that the tool supports the detection and correction of errors, leading to a better indexing result.

Online publication date: Mon, 10-Nov-2008

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