Authors
Submit your research
Submission Guidelines
Editorial Board
Review Process
Publication Fee
Scirj Indexing

Publications
Research Journal
Special Issue
Thesis
Monograph

Research Library

RSS & Feeds

Subscribe

Scirj, Volume IX [2021]
February Issue [In Process]
January Issue

Scirj, Volume VIII [2020]
December Issue
November Issue
October Issue
September Issue
August Issue
July Issue
June Issue
May Issue
Apirl Issue
March Issue
February Issue
January Issue

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

Extending an Ontology Alignment System with a Lexical Database

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

Abstract: 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.

Reference this Paper: Extending an Ontology Alignment System with a Lexical Database by Baththama Bello Alhassan, Sahalu B. Junaidu, A.A. Obiniyi published at: "Scientific Research Journal (Scirj), Volume III, Issue I, January 2015 Edition, Page 12-17 ".

Search Terms: Ontology Alignment; WordNet

[Read Research Paper]       [Full Screen]