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首页> 外文期刊>Research journal of applied science, engineering and technology >Quranic Verse Extraction base on Concepts using OWL-DL Ontology
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Quranic Verse Extraction base on Concepts using OWL-DL Ontology

机译:基于基于概念的OWL-DL本体的古兰经经文提取

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摘要

In recent years, there has been a global growing demand for Islamic knowledge by both Muslims and non-Muslims. This has brought about a number of automated applications that ease the retrieval of knowledge from the Holy Book, being the major source of Knowledge in Islam. However, the current retrieval methods in the Quranic domain lack adequate semantic search capabilities; they are mostly based on the keywords matching approach. There is a lack of adequate linked data to provide a better description of concepts found in the Holy Quran. In this study we propose an Ontology assisted semantic search system in the Qur'an domain. The system makes use of Quran ontology and various relationships and restrictions. This will enable the user to semantically search for verses related to their query in Al-Quran. The system has improved the search capability of the Holy Quran knowledge to 95 percent accuracy level.
机译:近年来,穆斯林和非穆斯林对全球伊斯兰知识的需求不断增长。这带来了许多自动化的应用程序,这些应用程序使从《圣经》中获取知识变得容易,《圣经》是伊斯兰知识的主要来源。但是,目前在古兰经领域中的检索方法缺乏足够的语义搜索能力。它们主要基于关键字匹配方法。缺乏足够的链接数据无法更好地描述《古兰经》中的概念。在这项研究中,我们提出了一个古兰经领域的本体辅助语义搜索系统。该系统利用了古兰经本体以及各种关系和限制。这将使用户能够在语义上搜索与他们在Al-Quran中的查询有关的经文。该系统已将《古兰经》知识的搜索能力提高到95%的准确性水平。

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