本体模型与语义链接网络在Web资源检索中的结合

Shengtao Sun, Dingsheng Liu, Guoqing Li, Wenyang Yu, Lv Pang
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引用次数: 3

摘要

本体模型(Ontology Model)和语义链路网络(Semantic Link Network, SLN)是语义Web中两个重要的语义数据模型。本体模型可以在概念空间中描述网络资源,而语言网络可以描述网络资源之间的各种联系和关系。本体模型与语言网络的结合有助于提高网络资源检索的效果,但需要本体知识库与语言网络知识库之间的数据传递和交换。本文提出了语义关系树(SRT)来实现本体模型到语言网络的信息传递,并给出了一个基于本体知识库和语言网络知识库的网络资源检索实例。
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Combination of Ontology Model and Semantic Link Network in Web Resource Retrieval
Ontology Model and Semantic Link Network (SLN) are two important semantic data models in Semantic Web. Ontology Model can describe network resource in concept space, while SLN can describe various links and relations between network resources. Combination of Ontology Model and SLN can help to improve the effect of network resource retrieval, but data transfer and exchange between ontological knowledge base and SLN knowledge base are needed. This paper presents semantic relationship tree (SRT) to realize the information transfer from Ontology Model to SLN, and also gives an example of network resource retrieval based on ontology knowledge base and SLN knowledge base.
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