Quotation Da Silva, Jomar, Cerqueira Revoredo, Kate, Baião, Fernanda, Euzenat, Jérôme. 2020. Alin: improving interactive ontology matching by interactively revisingmapping suggestions. The Knowledge Engineering Review. 35




Ontology matching aims at discovering mappings between the entities of two ontologies. It plays an important role in the integration of heterogeneous data sources that are described by ontologies. Interactive ontology matching involves domain experts in the matching process. In some approaches, the expert provides feedback about mappings between ontology entities, that is, these approaches select mappings to present to the expert who replies which of them should be accepted or rejected, so taking advantage of the knowledge of domain experts towards finding an alignment. In this paper, we present Alin, an interactive ontology matching approach which uses expert feedback not only to approve or reject selected mappings but also to dynamically improve the set of selected mappings, that is, to interactively include and to exclude mappings from it. This additional use for expert answers aims at increasing in the benefit brought by each expert answer. For this purpose, Alin uses four techniques. Two techniques were used in the previous versions of Alin to dynamically select concept and attribute mappings. Two new techniques are introduced in this paper: one to dynamically select relationship mappings and another one to dynamically reject inconsistent selected mappings using anti-patterns. We compared Alin with state-of-the-art tools, showing that it generates alignment of comparable quality.


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Publication's profile

Status of publication Published
Affiliation External
Type of publication Journal article
Journal The Knowledge Engineering Review
Citation Index SCI
Language English
Title Alin: improving interactive ontology matching by interactively revisingmapping suggestions
Volume 35
Year 2020
Reviewed? Y
URL https://doi.org/10.1017/S0269888919000249
DOI 10.1017/S0269888919000249
Open Access N


Cerqueira Revoredo, Kate (Details)
Baião, Fernanda (Pontificial Catholic University of Rio de Janeiro, Brazil)
Da Silva, Jomar (Federal University of Rio de Janeiro, Brazil)
Euzenat, Jérôme (University Grenoble Alpes, France)
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