A Study in Empirical and `Casuistic' Analysis of Ontology Mapping Results
From semanticweb.org
A paper written by Ondrej Svab, Vojtech Svatek and Heiner Stuckenschmidt. It was presented at the ESWC2007. It is about data mining, ontology, ontology mapping, mapping patterns and evaluation
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[edit] Abstract
Many ontology mapping systems nowadays exist. In order to evaluate their
strengths and weaknesses, several benchmark datasets (ontology collections) have been created, several of which have been used in the most recent edition of the Ontology Alignment Evaluation Initiative (OAEI). While most OAEI tracks rely on comparison of the results achieved by the mapping systems with some kind of reference mapping, the 'conference' track (based on the OntoFarm collection of heterogeneous 'conference organisation' ontologies) instead anticipated evaluation via a face to face consensus workshop plus posterior automated discovery of frequent patterns in the overall set of mappings. In this paper, we discuss the argumentation used at the consensus workshop, its outcomes, and present the results of subsequent mining for associations in the mapping data (using the LISp-Miner system), including the most frequent graph patterns.
This data has been imported from the ESWC2007 RDF
