Abstract
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.
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Notes
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A linkset is a set of links or mappings between entities of two ontologies/vocabularies.
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- 3.
- 4.
Codelist A:https://goo.gl/UYrfPx, Codelist B: https://goo.gl/oxjjLn, Expert Mapping: https://goo.gl/yiCTUw.
- 5.
Czech Codelist https://goo.gl/pKZpVR, European codelist https://goo.gl/9hCPZq, Guidelines: https://goo.gl/vRYc5r, Results: https://goo.gl/BEmzfb.
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This work has been supported by the OpenBudgets.eu Horizon 2020 project (Grant Agreement 645833).
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Karampatakis, S., Bratsas, C., Zamazal, O., Filippidis, P.M., Antoniou, I. (2017). Alignment: A Collaborative, System Aided, Interactive Ontology Matching Platform. In: Różewski, P., Lange, C. (eds) Knowledge Engineering and Semantic Web. KESW 2017. Communications in Computer and Information Science, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-69548-8_22
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