Title of article :
IIFRS: INTELLIGENT ISLAMIC FATA WA RETRIEVAL SYSTEM
Author/Authors :
Sharaf, E. A. Al Azhar University - Faculty of Engineering - Systems and Computers Engineering Department, Egypt , Shehab Al-Din, A. Al Azhar University - Faculty of Engineering - Systems and Computers Engineering Department, Egypt , Harb, H. M. Al Azhar University - Faculty of Engineering - Systems and Computers Engineering Department, Egypt
Abstract :
This paper proposes an agent system for information retrieval based on ontology and applied on Islamic Feqh Fatawa (IFF). The IFF retrieval agents assess the input IFF text from two paths, the first path is a historical completed fatwa text, and the second is an online user fatvva query. IFF retrieval agents use the ontological knowledge that supports Information Extraction (IE) in particular with concepts, propositions, unifiers and paraphrases. Sentences of Islamic Fatawa are annotated with ontology propositions that recognize an instance of their content. Distributing ontology-based IE to agents enables parallel processing and eases tracking of decisions and their explanation to users. An application example for the proposed system is introduced to show the advantages of using ontology to represent the semantic of Islamic Fatwa. The Resource Description Framnvork (RDF) for Islamic Fatwa is also proposed.
Keywords :
Information Extraction , ontology , intelligent agent , natural language processing , Islamic FeqhFatwa , and Intelligent Islamic Fatwa Retrieval System (llFRS)
Journal title :
International Journal of Intelligent Computing and Information Sciences
Journal title :
International Journal of Intelligent Computing and Information Sciences