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Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques

Michael Granitzer, Vedran Sabol, Kow Weng Onn, Dickson Lukose and Klaus Tochtermann
Additional contact information
Michael Granitzer: Know-Center GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Vedran Sabol: Know-Center GmbH, Inffeldgasse 21a, 8010 Graz, Austria
Kow Weng Onn: MIMOS Berhad Technology Park Malaysia, 57000 Kuala Lumpur, Malaysia
Dickson Lukose: MIMOS Berhad Technology Park Malaysia, 57000 Kuala Lumpur, Malaysia
Klaus Tochtermann: Graz University of Technology, Inffeldgasse 21a, 8010 Graz, Austria

Future Internet, 2010, vol. 2, issue 3, 1-21

Abstract: Semantic technologies are of paramount importance to the future Internet. The reuse and integration of semantically described resources, such as data or services, necessitates the bringing of ontologies into mutual agreement. Ontology alignment deals with the discovery of correspondences between concepts and relations from different ontologies. Alignment provides the key ingredient to semantic interoperability. This paper gives an overview on the state of the art in the field of visually supported semi-automatic alignment techniques and presents recent trends and developments. Particular attention is given to user interfaces and visualization techniques supporting involvement of humans in the alignment process. We derive and summarize requirements for visual semi-automatic alignment systems, provide an overview of existing approaches, and discuss the possibilities for further improvements and future research.

Keywords: ontology alignment; semantic technologies; information visualization; visual analytics (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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