Inferred Ontology Concepts Alignment Using Instances and an External Dictionary | Zendy

Saida Gherbi | Zendy; Mohamed Tarek Khadir | Zendy

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Inferred Ontology Concepts Alignment Using Instances and an External Dictionary

Author(s) -

Saida Gherbi,

Mohamed Tarek Khadir

Publication year - 2016

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2016.04.145

Subject(s) - computer science , wordnet , ontology alignment , ontology , inference , matching (statistics) , similarity (geometry) , information retrieval , natural language processing , artificial intelligence , data mining , ontology based data integration , image (mathematics) , semantic web , philosophy , statistics , mathematics , epistemology

In this paper, a novel approach using Description Logic (DL) based inference rules, for ontology matching is presented. Alignment concerns ontology concepts, with the application of similarity measures to perform concepts and instances relationship alignments. Moreover, external knowledge, in the form of WordNet dictionary is then used to solve usual matching problems encountered with synonyms, polesemy, homonyms, etc. Illustrative examples are then presented to support the developed approach

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