论文标题
古兰经使用协会规则挖掘的智能本体构建方法
Quran Intelligent Ontology Construction Approach Using Association Rules Mining
论文作者
论文摘要
本体论可以看作是知识的形式表示。在许多人工智能研究中对它们进行了调查，包括语义网，软件工程和信息检索。本体论的目的是开发可以共享和重复使用的知识表示。该研究项目涉及使用协会规则来提取古兰经本体论。从古兰经经文手动获取本体学可能非常昂贵。因此，我们需要使用基于模式的方案和协会规则来发现古兰经的概念和语义关系的智能系统，以从古兰经经文中发现古兰经。我们的系统基于统计和语言学方法的结合，从古兰经提取概念和概念关系。特别是，利用一种基于语言模式的方法来从古兰经中提取特定概念，而基于协会规则技术的概念关系。 《古兰经》本体论将提供古兰经知识的新的强大代表，并且协会规则将有助于代表古兰经本体中所有相关概念之间的关系。
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.
