Targeted ontology mapping

We examine the ontology mapping problem with three different groups of readers in mind: system designers, who need to know what is and isn't possible given the current state of alignment algorithms and what pitfalls to watch out for when someone suggests the use of ontologies in a project; system developers, who require knowledge of specific algorithms and useful software libraries; and semantic interoperability researchers who may be interested in the potential efficacy of using a genetic algorithm to choose which similarity metrics should be employed to map two ontologies, based on a small, carefully-chosen subset of each ontology.

[1]  Changjun Jiang,et al.  GAOM: Genetic Algorithm Based Ontology Matching , 2006, 2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06).

[2]  Hassan Abolhassani,et al.  Coincidence based Mapping Extraction with Genetic Algorithms , 2007, WEBIST.

[3]  William E. Winkler,et al.  The State of Record Linkage and Current Research Problems , 1999 .

[4]  Enrique Alba,et al.  Optimizing Ontology Alignments by Using Genetic Algorithms , 2008, NatuReS.

[5]  Philip Resnik,et al.  Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.

[6]  Graeme Hirst,et al.  Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures , 2004 .

[7]  P. Wang,et al.  Debugging Ontology Mappings: A Static Approach , 2008, Comput. Informatics.

[8]  Yun Peng,et al.  A Bayesian Network Approach to Ontology Mapping , 2005, SEMWEB.

[9]  Andreas Heß An Iterative Algorithm for Ontology Mapping Capable of Using Training Data , 2006, ESWC.

[10]  David W. Conrath,et al.  Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy , 1997, ROCLING/IJCLCLP.

[11]  Natalya F. Noy,et al.  Ontology Mapping Discovery with Uncertainty , 2005 .

[12]  Matthew A. Jaro,et al.  Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida , 1989 .

[13]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[14]  Erhard Rahm,et al.  Similarity flooding: a versatile graph matching algorithm and its application to schema matching , 2002, Proceedings 18th International Conference on Data Engineering.

[15]  Jérôme Euzenat,et al.  Ten Challenges for Ontology Matching , 2008, OTM Conferences.

[16]  Steffen Staab,et al.  QOM - Quick Ontology Mapping , 2004, GI Jahrestagung.

[17]  Mark A. Musen,et al.  PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment , 2000, AAAI/IAAI.

[18]  Dekang Lin,et al.  An Information-Theoretic Definition of Similarity , 1998, ICML.

[19]  Dominic Widdows,et al.  Geometry and Meaning , 2004, Computational Linguistics.

[20]  Pedro M. Domingos,et al.  Ontology Matching: A Machine Learning Approach , 2004, Handbook on Ontologies.

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

[22]  York Sure-Vetter,et al.  Ontology Mapping - An Integrated Approach , 2004, ESWS.

[23]  Nuno Seco,et al.  Design, Implementation and Evaluation of a New Semantic Similarity Metric Combining Features and Intrinsic Information Content , 2008, OTM Conferences.