Ontology versus semantic networks for medical knowledge representation

Authors:
Abdel-Badeeh M. Salem;Marco Alfonse
Affiliations:
Computer Science Department, Ain Shams University, Faculty of Computers and Information Systems, Cairo, Egypt;Computer Science Department, Ain Shams University, Faculty of Computers and Information Systems, Cairo, Egypt
Venue:
ICCOMP'08 Proceedings of the 12th WSEAS international conference on Computers
Year:
2008

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Abstract

The efficient Semantic Web, needs knowledge to be presented in a well defined form which enables people and software agents to understand it. There are many knowledge representation techniques such as rules, frames, scripts, semantic network and ontology. The purpose of this paper is to illustrate the difference between semantic network and ontology techniques for medical knowledge representation. The paper presents a development of semantic net and ontology for lung cancer using PROLOG and Protégé-OWL respectively. The results show that ontology supports representing knowledge semantically for building a robust knowledge-based system.