Ontology versus Semantic Networks for Medical Knowledge Representation

被引：0

作者：

Salem, Abdel-Badeeh M. ^{[1
]}

Alfonse, Marco ^{[1
]}

机构：

[1] Ain Shams Univ, Fac Comp & Informat Syst, Dept Comp Sci, Cairo, Egypt

来源：

PROCEEDINGS OF THE 12TH WSEAS INTERNATIONAL CONFERENCE ON COMPUTERS , PTS 1-3: NEW ASPECTS OF COMPUTERS | 2008年

关键词：

Knowledge Representation; Medical Informatics; Semantic Network; Ontology; Lung Cancer; Artificial Intelligence;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 Protege-OWL respectively. The results show that ontologoy supports representing knowledge semantically for building a robust knowledge-based system.

引用

页码：769 / +

页数：2