基于关联规则挖掘的古兰经本体智能构建方法
Quran Intelligent Ontology Construction Approach Using Association Rules Mining
摘要：
本体可以看作是知识的形式化表示。它们已经在许多人工智能研究中被研究，包括语义网、软件工程和信息检索。本体的目的是开发可共享和重用的知识表示。这个研究项目关注的是使用关联规则来提取古兰经本体。从古兰经经文的本体的手动收购可能是非常昂贵的，因此，我们需要一个智能系统，古兰经本体建设使用基于模式的计划和关联规则，发现古兰经的概念和语义关系，从古兰经经文。我们的系统是基于统计学和语言学方法相结合，从古兰经中提取概念和概念关系。特别是，一种基于语言模式的方法被用来提取特定的概念从古兰经，而概念关系的基础上发现的关联规则技术。古兰经本体将提供古兰经知识的新的和强大的表示，关联规则将有助于表示古兰经本体中所有类别的连接概念之间的关系。
英文摘要：
Ontology can be seen as a formal representation of knowledge. They have been investigated in many artificial intelligence studies including semantic web, software engineering, and information retrieval. The aim of ontology is to develop knowledge representations that can be shared and reused. This research project is concerned with the use of association rules to extract the Quran ontology. The manual acquisition of ontologies from Quran verses can be very costly; therefore, we need an intelligent system for Quran ontology construction using patternbased schemes and associations rules to discover Quran concepts and semantics relations from Quran verses. Our system is based on the combination of statistics and linguistics methods to extract concepts and conceptual relations from Quran. In particular, a linguistic pattern-based approach is exploited to extract specific concepts from the Quran, while the conceptual relations are found based on association rules technique. The Quran ontology will offer a new and powerful representation of Quran knowledge, and the association rules will help to represent the relations between all classes of connected concepts in the Quran ontology.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
