Applying Semantic Web Technologies to Ontology Alignment

Ontologies are the backbone of intelligent computing on the World Wide Web but also crucial in many decision support situations. Many sophisticated tools have been developed to support working with ontologies, including prominently exploiting the vast array of existing ontologies. A system called ALIGN is developed that demonstrates how to use freely available tools to facilitate ontology alignment. First two ontologies are built with the ontology editor Protege and represented in OWL. ALIGN then accesses these ontologies via Java's JENA framework and SPARQL queries. The efficacy of the ALIGN prototype is demonstrated on a drug-drug interaction problem. The prototype could readily be applied to other domains or be incorporated into decision support tools.

[1]  David W. Embley,et al.  Automatic direct and indirect schema mapping: experiences and lessons learned , 2004, SGMD.

[2]  Michel C. A. Klein,et al.  Ontology Evolution: Not the Same as Schema Evolution , 2004, Knowledge and Information Systems.

[3]  Edmundo Roberto Mauro Madeira,et al.  A Semantic-Enabled Middleware for Citizen-Centric E-Government Services , 2010, Int. J. Intell. Inf. Technol..

[4]  Alexander C. Yu,et al.  Methods in biomedical ontology , 2006, J. Biomed. Informatics.

[5]  Yannis Kalfoglou,et al.  Ontology mapping: the state of the art , 2003, The Knowledge Engineering Review.

[6]  Fausto Giunchiglia,et al.  S-Match: an Algorithm and an Implementation of Semantic Matching , 2004, ESWS.

[7]  Victoria Y. Yoon,et al.  Using Ontological Reasoning for an Adaptive E-Commerce Experience , 2009, Int. J. Intell. Inf. Technol..

[8]  Pedro M. Domingos,et al.  Learning to match ontologies on the Semantic Web , 2003, The VLDB Journal.

[9]  Suzette Stoutenburg Acquiring advanced properties in ontology mapping , 2008, PIKM '08.

[10]  Sougata Mukherjea,et al.  Information retrieval and knowledge discovery utilising a biomedical Semantic Web , 2005, Briefings Bioinform..

[11]  Günter Neumann,et al.  An Information Extraction Core System for Real World German Text Processing , 1997, ANLP.

[12]  H. Sofia Pinto,et al.  Some Issues on Ontology Integration , 1999, IJCAI 1999.

[13]  Sumi Yoshikawa,et al.  Drug Interaction Ontology (DIO) for Inferences of Possible Drug-drug Interactions , 2004, MedInfo.

[14]  Erhard Rahm,et al.  A survey of approaches to automatic schema matching , 2001, The VLDB Journal.

[15]  Gerd Stumme,et al.  FCA-MERGE: Bottom-Up Merging of Ontologies , 2001, IJCAI.

[16]  Patrick Lambrix,et al.  A Method for Recommending Ontology Alignment Strategies , 2007, ISWC/ASWC.

[17]  Hyoil Han,et al.  A survey on ontology mapping , 2006, SGMD.

[18]  Jongwoo Kim,et al.  Construction of Domain Ontologies: Sourcing the World Wide Web , 2011, Int. J. Intell. Inf. Technol..

[19]  Stefan Decker,et al.  A Scalable Framework for the Interoperation of Information Sources , 2001, SWWS.

[20]  Stephen G. MacDonell,et al.  An ontology driven approach for knowledge discovery in Biomedicine , 2004 .

[21]  Schubert Foo,et al.  Ontology research and development. Part 1 - a review of ontology generation , 2002, J. Inf. Sci..

[22]  Stefan Schlobach,et al.  An Empirical Study of Instance-Based Ontology Matching , 2007, ISWC/ASWC.

[23]  Nikolai Dahlem,et al.  OntoClippy: A User-Friendly Ontology Design and Creation Methodology , 2011, Int. J. Intell. Inf. Technol..

[24]  Mark A. Musen,et al.  From mappings to modules: using mappings to identify domain-specific modules in large ontologies , 2010, K-CAP '11.

[25]  Patrick Lambrix,et al.  SAMBO - A system for aligning and merging biomedical ontologies , 2006, J. Web Semant..