Open AccessThis article is
- freely available
Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques
Know-Center GmbH, Inffeldgasse 21a, 8010 Graz, Austria
MIMOS Berhad Technology Park Malaysia, 57000 Kuala Lumpur, Malaysia
Graz University of Technology, Inffeldgasse 21a, 8010 Graz, Austria
ZBW, Leibniz-Information Centre for Economy, University Kiel, Düsternbrooker Weg 120, 24105 Kiel, Germany
* Author to whom correspondence should be addressed.
Received: 1 July 2010; in revised form: 27 July 2010 / Accepted: 29 July 2010 / Published: 4 August 2010
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
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Granitzer, M.; Sabol, V.; Onn, K.W.; Lukose, D.; Tochtermann, K. Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques. Future Internet 2010, 2, 238-258.
Granitzer M, Sabol V, Onn KW, Lukose D, Tochtermann K. Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques. Future Internet. 2010; 2(3):238-258.
Granitzer, Michael; Sabol, Vedran; Onn, Kow Weng; Lukose, Dickson; Tochtermann, Klaus. 2010. "Ontology Alignment—A Survey with Focus on Visually Supported Semi-Automatic Techniques." Future Internet 2, no. 3: 238-258.