Matcher composition for identification of subsumption relations in ontology matching

Ontology matching is the process of identifying alignment between ontologies with the objective to facilitate interoperability and knowledge integration. A limitation of state of the art ontology matching systems is that the produced alignments usually only contain equivalence relations, while other relations, such as subsumption relations, are often neglected. Furthermore, an ontology matching system is normally composed of a set of differently tuned matching algorithms, but their appropriateness and order of execution typically require human judgement. The COMPOSE framework identifies subsumption relations automatically using a three-stage matcher composition process. These three processes are ontology analysis, matcher selection, and matcher combination. Within this framework we integrate existing techniques for all three processes with novel ones and evaluate the feasibility of the framework in an experiment involving six acknowledged ontologies.

[1]  Sean Bechhofer,et al.  The OWL API: A Java API for OWL ontologies , 2011, Semantic Web.

[2]  J. Euzenat,et al.  Ontology Matching , 2007, Springer Berlin Heidelberg.

[3]  Heiner Stuckenschmidt,et al.  Results of the Ontology Alignment Evaluation Initiative , 2007 .

[4]  Erhard Rahm,et al.  Enriching ontology mappings with semantic relations , 2014, Data Knowl. Eng..

[5]  Jérôme Euzenat,et al.  Classifications of Ontology Matching Techniques , 2013 .

[6]  Fausto Giunchiglia,et al.  S-Match: An open source framework for matching lightweight ontologies , 2012, Semantic Web.

[7]  Renata Vieira,et al.  A Cooperative Approach for Composite Ontology Mapping , 2008, J. Data Semant..

[8]  Cosmin Stroe,et al.  Automatic Configuration Selection Using Ontology Matching Task Profiling , 2012, ESWC.

[9]  Jérôme David,et al.  The Alignment API 4.0 , 2011, Semantic Web.

[10]  Hong-Gee Kim,et al.  Aligning ontologies with subsumption and equivalence relations in Linked Data , 2015, Knowl. Based Syst..

[11]  Stefanos D. Kollias,et al.  A String Metric for Ontology Alignment , 2005, SEMWEB.

[12]  Heiner Stuckenschmidt,et al.  Results of the Ontology Alignment Evaluation Initiative 2007 , 2006, OM.

[13]  Christiane Fellbaum,et al.  Book Reviews: WordNet: An Electronic Lexical Database , 1999, CL.

[14]  Amit P. Sheth,et al.  OntoQA: Metric-Based Ontology Quality Analysis , 2005 .

[15]  Yi Li,et al.  RiMOM: A Dynamic Multistrategy Ontology Alignment Framework , 2009, IEEE Transactions on Knowledge and Data Engineering.

[16]  Jérôme Euzenat,et al.  Applying an Analytic Method for Matching Approach Selection , 2006, Ontology Matching.

[17]  Antonietta Bisetto,et al.  The Classification of Compounds , 2011 .

[18]  Heiner Stuckenschmidt,et al.  Improving Ontology Matching Using Meta-level Learning , 2009, ESWC.

[19]  Carlo Strapparava,et al.  Mapping WordNet Domains, WordNet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources , 2014, LREC.