【作者】 郁书好；

【导师】 郭学俊；

【作者基本信息】 河海大学 ， 计算机软件与理论， 2006， 硕士

【摘要】 知识库的知识建模是智能化系统必须首要解决的问题之一。由于传统智能教学系统的资源缺少统一的知识描述结构,导致学习资源在各教学系统间难以交互操作和共享;目前智能教学系统中基于关键字的知识信息检索方式,在语义和语用的揭示上有很大的局限性,难以满足用户的实际需求。因此研究知识库的知识建模问题,具有很强的理论和实际意义。 本文将本体引入教学知识库的建模过程,通过研究取得了下列结果: (1) 从智能教学系统的知识建模方法入手,用本体建模提供共享概念模型,促进知识库术语描述和实体属性的规范化,建立概念语义空间,提供知识共享和语义互操作; (2) 本体知识库建模阶段,针对现有本体建模方法存在的问题和不足,结合软件工程学,设计基于CRUP的本体建模方法和过程,依据其构建了基于OWL描述的《数据结构》课程本体知识库,并对所建本体知识库进行正确性检查; (3) 以所建的本体知识库为基础,开发语义检索原型系统,研究其构建原理、工作流程和开发方法,通过系统运行分析,语义检索实验系统比传统的基于关键字的查询方法具有更高的查全率和查准率。 将本体引入智能教学系统的知识库建模,提供概念共享模型促进机器理解,不仅可以解决知识共享及互操作问题,同时在基于本体知识库的智能教学系统中,易于实现基于知识的语义检索技术,这将有利于提高系统的检索效率。更多还原

【Abstract】 The knowledge representation of knowledge base is one of the first important problems that must be settled in intellectualized system. Because the traditional intelligence teaching system resources lacks the uniform knowledge representation framework, all the learning resources are difficult to operate and share each other in various teaching system. At present the keyword-based knowledge information retrieval mode of ITS, being very limited in revealing semantics and pragmatics, is difficult to satisfy the users’ actual demands. So it is very useful to research the knowledge representation of knowledge base.This dissertation gains the following results by introducing ontology to the modeling process of teaching KB:First, starting with the knowledge representation of ITS, the dissertation offers model of share concept based on ontology. This promotes the standardization of entities property and glossary express in KB. Simultaneity, it can offer knowledge share and semantic mutual-operation by establishing a space of semantic concept.Second, at the procedure of modeling ontology-based KB, we design an ontology modeling method and process based on CRUP by combining the ontology modeling methods in existence and the technology of software engineering. Then we construct the ontology of Data Structure based on OWL representation and probe into its validity according to our CRUP-based method.Third, we develop a prototype system of semantic search based on our constructed ontology-based KB. We study its principle of construction, working flow and methods of development. Then by analyzing circulation of system, we think that the searching system based on semantic is more round and exact than the searching method based on keyword of traditional way.In order to provide the modeling of sharing concepts and semantic concepts, ontology is introduced to the KB modeling of ITS. This not only solves the problem of knowledge sharing and operating and easily realizes the inquiry function based on semantic search, but also realizes semantic search based on conception easily. This can raised the precision and recall of information search system.更多还原