Using Background Knowledge to Enhance Ontology Matching: a Survey

Tracking #: 1662-2874

This paper is currently under review
Authors: 
Amina ANNANE
Zohra Bellahsene
Faiçal AZOUAOU
Clement Jonquet

Responsible editor: 
Jérôme Euzenat

Submission type: 
Survey Article
Abstract: 
The ontology matching research community has been very active for a decade. Recently proposed state-of-the-art methods promote the use of a set of external knowledge resources as Background Knowledge (BK) for enhancing the ontology matching quality. Several important questions related to the use of background knowledge resources arise (i) In which case is the use of BK resources justified and necessary? and (ii) What is the tradeoff between the complexity of the alignment methods and the use of BK resources in terms of the quality of matching and time execution? Another interesting issue is the selection of the useful BK resources for a given ontology matching task. In this paper, we try to answer the questions by reviewing the different methods dealing with the two main steps of BK-based ontology matching that are BK resources selection and BK resources use. In addition, we provide a synthetic classification of BK resources use methods. Finally, we present a comparative evaluation of BK-based ontology matching systems by analyzing their performance results obtained during Ontology Alignment Evaluation Initiative (OAEI) 2012-2016 campaigns. We thus evaluate the benefit of using BK resources and the improvement achieved by this approach with regard to the systems that do not use BK resources.
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