Ontology is one of the essential topics in the scope of an important area of current computer science and Semantic Web. Ontologies present well defined, straightforward and standardized form of the repositories (vast and reliable knowledge) where it can be interoperable and machine understandable. There are many possible utilization of ontologies from automatic annotation of web resources to do...

The Arabic language is one of the oldest languages in the world that presents its own features and challenges while searching for Arabic-based content. The most search systems for the Holy Quran is organized around words (contained in the target verses) rather than the concepts which those words denote. As a word denote many concepts (polysemy) and a concept can be denoted by many words (synony...

Modern Arabic text is written without diacritical marks (short vowels), which causes considerable ambiguity at the word level in the absence of context. Exceptional from this is the Holy Quran, which is endorsed with short vowels and other marks to preserve the pronunciation and hence, the correctness of sensing its words. Searching for a word in vowelized text requires typing and matching all ...

The semantic resources are important parts in the Information Retrieval (IR) such as search engines, Question Answering (QA), etc., these resources should be available, readable and understandable. In semantic web, the ontology plays a central role for the information retrieval, which use to retrieves more relevant information from unstructured information. This paper presents a semantic-based ...

Recitation of the Holy Quran with Tajweed is an essential activity as a Muslim. Reciting Quran correctly indicates the correct meaning of the words of Allah has been received from this significant resource among Muslims. That is why Muslims stress on the Quranic Education since in the early age. It is important to pronounce the letter correctly based on its characteristics as well as the articu...

In this paper, we present a simple mining technique named the Quran Mining Technique (QMT) in an attempt to automatically classify the Suras (i.e. chapters) of the Quran based on predefined set of 10 themes. QMT is composed mainly of two phases: a preprocessing phase and a classification phase. In the first phase, we manually label a set of representative words for ten predefined themes. In the...

The main aim of this paper is to present on the issues of evaluating the retrieval performance of the multi-script indexing of translated texts of al-Quran. Translations of al-Quran has played a major role in the recitation of al-Quran in its original texts and understanding through the translated words, among the public. Even in querying, non-Arabic speakers will find the texts through the tra...

Recitation of the Holy book of Muslims, The Holy Quran, is a regions duty and hence is done with utmost care such that no mistakes are made while reading it. These mistakes may include the wrong utterance of words, misreading words, and punctuation and pronunciation mistakes. Believers of Islam are spread all over the world and hence there also can be a difference in accent. To avoid this, tajw...