摘要
在语义网络环境下，通常运用不同领域的本体来组织分散于各处的信息资源。为了有效地解决这些分散信息资源的定位和整合问题，本文提出了一种新的本体转换模型，主要从原理和方法论上对该模型框架进行了研究，并对模型的各个有机组成部分进行了阐述，着重讨论了相似度匹配阶段算法的应用原理和语义转换阶段概念映射规则的多种表达方法。
Under the circumstances of the semantic web, field ontologies are usually used to organize distributed information resources. To resolve the location and integration problems of the distributed information resources efficiently, this paper puts forward a new model of ontology translation and does research concerning principles and methodology, expatiating on the various segments of the model. The discussion focuses on the application principles of algorithms in the Similarity Segment and multiple descriptive methods of concept-mapping rules in the Semantic Translation Segment.
出处
《情报学报》
CSSCI
北大核心
2006年第1期36-42,共7页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金资助项目（项目批准号：7037047）.
关键词
本体
本体转换
本体映射
语义网
ontology, ontology translation, ontology mapping, semantic web.
