Extending an Ontology Alignment System with a Lexical Database
Extending an Ontology Alignment System with a Lexical Database
No Thumbnail Available
Date
2014-10
Authors
ALHASSAN, Bello Baththama
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Ontology alignment is a challenging problem in many applications and is a major
concern for interoperability in information systems. It aims to find semantic
correspondences between a pair of input Ontologies, which is still an active area of a
research. 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 thesis investigated the theoretical and practical aspects as well as the limitations of
Falcon-AO in both aspects. An enhanced architecture of Falcon-AO was also developed
and implemented. The aim was to enhance the precision of Falcon-AO’s alignment
through the use of a large lexical database “WordNet” in the alignment process. The
extended Falcon-AO was built and validated using standard benchmark Ontologies. A
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.
Description
A PROJECT THESIS SUBMITED TO THE SCHOOL OF
POSTGRADUATE STUDIES,
AHMADU BELLO UNIVERSITY, ZARIA
IN PATIAL FULFILMENT FOR THE AWARD OF
MASTER OF SCIENCE IN COMPUTER SCIENCE
DEPARTMENT OF MATHEMATICS,
FACULTY OF SCIENCE
AHMADU BELLO UNIVERSITY, ZARIA
NIGERIA
October, 2014
Keywords
Ontology Alignment,, System,, Lexical Database.