文章基本信息

标题：BeliefOWL: An Evidential Representation in OWL Ontology
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作者：Amira ESSAID ; Boutheina Ben Yaghlane ; Khaled Mellouli 等
期刊名称：Communications of the ACS
电子版ISSN：2090-102X
出版年度：2011
卷号：4
期号：2
出版社：The Arab Computer Society
摘要：In semantic web environment, ontologies have become used to represent a domain of discourse to facilitate knowledge sharing and information exchange. Many languages have been developed to represent ontologies, among them the web ontology language (OWL) which cannot capture the uncertainty about the concepts in a domain. To address the problem of modeling uncertainty in semantic web, we propose in this paper, the theoretical aspects of our tool BeliefOWL which is based on an evidential approach. It focuses on translating an OWL ontology into a directed evidential network by applying a set of structural translation rules. Once the network is constructed, belief masses will be assigned to the different nodes in order to propagate uncertainty later.