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

The paper is available online at http://www.eswc2007.org/pdf/eswc07-svab.pdf

[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