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计算机工程 ›› 2006, Vol. 32 ›› Issue (18): 225-227. doi: 10.3969/j.issn.1000-3428.2006.18.081

• 人工智能及识别技术 • 上一篇    下一篇

基于Ontology和描述逻辑推理的Web题目资源检索

王宗纬,朱国进,赵浪波,苏 翔   

  1. (东华大学计算机科学与技术系,上海 200051)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-09-20 发布日期:2006-09-20

Web Problem Resources Retrieval Based on Ontology and Description Logic Inferences

WANG Zongwei, ZHU Guojin, ZHAO Langbo, SU Xiang   

  1. (School of Computer Science and Technology, Donghua University, Shanghai 200051)
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-09-20 Published:2006-09-20

摘要: Web网上存在着大量题目资源,学生在学习过程中需要准确找到与其所学知识真正相吻合的题目。但是从题目的语言表述往往很难获得其语义信息,合适的题目难以找到。该文提出了一种基于Ontology和描述逻辑推理的Web题目资源检索方案。该方案通过为Web题目资源添加语义注释,并通过描述逻辑推理完成基于语义的题目资源检索,使学生获得与其所学知识语义相关的题目。采用OWL描述Ontology、使用推理机RACER实现描述逻辑推理。

关键词: 本体论, OWL, 描述逻辑, Web题目资源, 语义注释

Abstract: Students need to get problem resources that exist largely in Web through a precise and efficient way. But it is difficult for students to get what they really want, which are in correspondence with the knowledge they have already acquired. To solve this problem, this paper proposes a method of retrieving Web problem resources based on ontology and description logics (DL). It adopts OWL to express ontology and use RACER as a DL reasoner to fulfill description logic inferences.

Key words: Ontology, OWL, Description logics, Web problem resource, Semantic annotation

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