oaioai:HAL:hal-01670205v1

Semantic interactive ontology matching: synergistic combination of techniques to improve the set of candidate correspondences

Abstract

silva2017aInternational audienceOntology Matching is the task of finding a set of entity correspondences between a pair of ontologies, i.e. an alignment. It has been receiving a lot of attention due to its broad applications. Many techniques have been proposed, among which the ones applying interactive strategies. An interactive ontology matching strategy uses expert knowledge towards improving the quality of the final alignment. When these strategies are based on the expert feedback to validate correspondences, it is important to establish criteria for selecting the set of correspondences to be shown to the expert. A bad definition of this set can prevent the algorithm from finding the right alignment or it can delay convergence. In this work we present techniques which, when used simultaneously, improve the set of candidate correspondences. These techniques are incorporated in an interactive ontology matching approach, called ALINSyn. Experiments successfully show the potential of our proposal

Similar works

Full text

thumbnail-image

INRIA a CCSD electronic archive server

Provided a free PDF
oaioai:HAL:hal-01670205v1Last time updated on 1/7/2018View original full text link

This paper was published in INRIA a CCSD electronic archive server.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.