Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service†
AbstractOntology 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
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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.
Karampatakis S, Bratsas C, Zamazal O, Filippidis PM, Antoniou I. Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service. Information. 2018; 9(11):281.Chicago/Turabian Style
Karampatakis, Sotirios; Bratsas, Charalampos; Zamazal, Ondřej; Filippidis, Panagiotis M.; Antoniou, Ioannis. 2018. "Alignment: A Hybrid, Interactive and Collaborative Ontology and Entity Matching Service." Information 9, no. 11: 281.
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