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Information 2018, 9(11), 281; https://doi.org/10.3390/info9110281

Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service

1
Open Knowledge Greece, 54352 Thessaloniki, Greece
2
School of Mathematics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
3
Department of Information and Knowledge Engineering, University of Economics, 13067 Prague, Czech Republic
This manuscript is an extended version of our paper “Alignment: A collaborative, system aided, interactive ontology matching platform” published in the Proceedings of Knowledge Engineering and Semantic Web, Szczecin, Poland, 9–10 November 2017.
*
Author to whom correspondence should be addressed.
Received: 9 October 2018 / Revised: 3 November 2018 / Accepted: 12 November 2018 / Published: 15 November 2018
(This article belongs to the Special Issue Knowledge Engineering and Semantic Web)
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Abstract

Ontology matching is an essential problem in the world of Semantic Web and other distributed, open world applications. Heterogeneity occurs as a result of diversity in tools, knowledge, habits, language, interests and usually the level of detail. Automated applications have been developed, implementing diverse aligning techniques and similarity measures, with outstanding performance. However, there are use cases where automated linking fails and there must be involvement of the human factor in order to create, or not create, a link. In this paper we present Alignment, a collaborative, system aided, interactive ontology matching platform. Alignment offers a user-friendly environment for matching two ontologies with the aid of configurable similarity algorithms. View Full-Text
Keywords: linked data; ontology matching; SKOS; thesauri linked data; ontology matching; SKOS; thesauri
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Karampatakis, S.; Bratsas, C.; Zamazal, O.; Filippidis, P.M.; Antoniou, I. Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service. Information 2018, 9, 281.

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