Ontology matching is a crucial problem in the world of Semantic Web and other distributed, open world applications. Diversity in tools, knowledge, habits, language, interests and usually level of detail may drive in heterogeneity. Thus, many automated applications have been developed, implementing a large variety of matching techniques and similarity measures, with impressive results. However, there are situations where this is not enough and there must be human decision in order to create a link. In this paper we present Alignment, a collaborative, system aided, interactive ontology matching platform. Alignment offers a simple GUI environment for matching two ontologies with aid of configurable similarity algorithms.
CITATION STYLE
Karampatakis, S., Bratsas, C., Zamazal, O., Filippidis, P. M., & Antoniou, I. (2017). Alignment: A collaborative, system aided, interactive ontology matching platform. In Communications in Computer and Information Science (Vol. 786, pp. 323–333). Springer Verlag. https://doi.org/10.1007/978-3-319-69548-8_22
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