Extending an Ontology Alignment System with a Lexical Database

Dublin Core

Title

Extending an Ontology Alignment System with a Lexical Database

Description

Ontology alignment is a challenging problem which limits or even prevents interoperability among information systems. It aims to find semantic correspondences between a pair of input ontologies with a view to making them semantically interoperable. One product of ontology alignment research is Falcon Aligning Ontologies (Falcon-AO), a system that attempts to align a pair of input ontologies automatically. This paper developed and implemented an enhanced version of Falcon-AO with increased precision. The enhanced system makes use of a large lexical database, WordNet, in the alignment process. Performance of the extended Falcon-AO system was tested and validated using standard benchmark ontologies from the Ontology Alignment Evaluation Initiative. Comparative performance analysis of the original and extended. Falcon-AO systems based on alignment precision and execution time shows the extended system to be more precise, although at a small execution time penalty.

Creator

Baththama Bello Alhassan, Sahalu B. Junaidu, A.A. Obiniyi

Source

http://www.scirj.org/jan-2015-paper.php?rp=P0115224

Publisher

Scirj Volume III, Issue I, January 2015 Edition
ISSN: 2201-2796

Citation

Baththama Bello Alhassan, Sahalu B. Junaidu, A.A. Obiniyi , “Extending an Ontology Alignment System with a Lexical Database ,” Scientific Research Journal -> Research Library, accessed October 21, 2018, http://www.scirj.org/rp/items/show/128.

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