Assessing thesaurus-based annotations for semantic search applications

Authors:
Kai Eckert;Magnus Pfeffer;Heiner Stuckenschmidt
Affiliations:
Computer Science Institute, University of Mannheim, A5, 6 68159 Mannheim, Germany.;Computer Science Institute, University of Mannheim, A5, 6 68159 Mannheim, Germany.;Computer Science Institute, University of Mannheim, A5, 6 68159 Mannheim, Germany
Venue:
International Journal of Metadata, Semantics and Ontologies
Year:
2008

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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.