Domain-Specific Ontology Construction from Hierarchy Web Documents

2011 Seventh International Conference on Semantics, Knowledge and Grids Pub Date : 2011-10-24 DOI:10.1109/SKG.2011.21

Xiaoming Liu, Jinzhong Xu, Fangfang Li

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引用次数: 4

Abstract

Ontology, the base of Semantic Web, plays a vital role in knowledge representation and knowledge reasoning. There are many tools providing management interfaces to create, query and edit knowledge of ontology. However, most of them are still arduous time-consuming manual work. Therefore, how to automatically construct ontology has attracted many researchers' attention. With the development of WEB, there is influent information we can take advantage of. According to the structure of Web, An automatically construction method for domain-specific ontology is proposed. Firstly, some special web sites which have relatively structure or semi-structure are selected. Then, web documents are clawed with Jsoap. Secondly, all contained knowledge is extracted and organized together to form the domain-specific ontology. Finally, the Jena platform is employed to create, delete, read, write ontology model in the form of RDF and query by SPARQL. The experimental results in â€œEntertainmentâ€ and â€œSportâ€ domain show concept hierarchy structures are reasonable with the overall precision of domain-specific ontology being up to 97%.

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基于层次Web文档的领域特定本体构建

本体是语义网的基础，在知识表示和知识推理中起着至关重要的作用。有许多工具提供了本体知识的创建、查询和编辑的管理接口。然而，其中大部分仍然是艰苦费时的手工工作。因此，如何自动构建本体成为众多研究者关注的焦点。随着WEB的发展，我们可以利用有影响力的信息。根据Web的结构，提出了一种面向特定领域的本体自动构建方法。首先，选择一些具有相对结构或半结构的特殊网站。然后，使用Jsoap抓取web文档。其次，对所包含的知识进行提取和组织，形成特定领域的本体;最后利用Jena平台以RDF的形式对本体模型进行创建、删除、读写，并通过SPARQL进行查询。在€œEntertainmentâ€”和€œSportâ€”领域的实验结果表明，概念层次结构合理，特定领域本体的总体精度可达97%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2011 Seventh International Conference on Semantics, Knowledge and Grids

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