Assessing thesaurus-based annotations for semantic search applications. (12th November 2008)

• Record Type: Journal Article
• Authors: Eckert, Kai; Pfeffer, Magnus; Stuckenschmidt, Heiner
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 3:Number 1(2008)
• Page Start: 53
• Page End: 67
• Publication Date: 2008-11-12
• Subjects: content-based retrieval -- thesaurus quality -- thesaurus evaluation -- information content -- visualisation -- thesaurus-based annotations -- semantic search -- automated indexing -- document indexing -- error detection -- error correction -- document retrieval -- information retrieval -- statistics; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

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.