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Dr. Mutaz M. Al-Debei

Ontology Engineering

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Computer Engineering

Conceptual Modelling And The Quality Of Ontologies: Endurantism Vs. Perdurantism, Mutaz M. Al-Debei, Mohammad Mourhaf Al Asswad, Sergio De Cesare, Mark Lycett Jan 2012

Conceptual Modelling And The Quality Of Ontologies: Endurantism Vs. Perdurantism, Mutaz M. Al-Debei, Mohammad Mourhaf Al Asswad, Sergio De Cesare, Mark Lycett

Dr. Mutaz M. Al-Debei

Ontologies are key enablers for sharing precise and machine-understandable semantics among different applications and parties. Yet, for ontologies to meet these expectations, their quality must be of a good standard. The quality of an ontology is strongly based on the design method employed. This paper addresses the design problems related to the modelling of ontologies, with specific concentration on the issues related to the quality of the conceptualisations produced. The paper aims to demonstrate the impact of the modelling paradigm adopted on the quality of ontological models and, consequently, the potential impact that such a decision can have in relation …


Ontoeng:A Design Method For Ontology Engineering In Information Systems, Mutaz M. Al-Debei, Guy Fitzgerald Jan 2009

Ontoeng:A Design Method For Ontology Engineering In Information Systems, Mutaz M. Al-Debei, Guy Fitzgerald

Dr. Mutaz M. Al-Debei

This paper addresses the design problem relating to ontology engineering in the discipline of information systems. Ontology engineering is a realm that covers issues related to ontology development and use throughout its life span. Nowadays, ontology as a new innovation promises to improve the design, semantic integration, and utilization of information systems. Ontologies are the backbone of knowledge-based systems. In addition, they establish sharable and reusable common understanding of specific domains amongst people, information systems, and software agents. Notwithstanding, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. On the basis of …