Relational WordNet model for semantic search in Holy Quran

Abstract

The Holy Quran, due to its unique style and allegorical nature, needs special attention about searching and information retrieval issues. The legacy keyword searching techniques are incapable of retrieving semantically relevant verses. In this paper, we address the deficiencies of key word based searching and the issues related to semantic search in the Holy Quran, and propose a model that is capable of performing semantic search. The model exploits WordNet relationships in relational database model. The implementation of this model has been carried out in latest tools and Surah Al-Baqrah, the largest chapter of the Holy Quran, has been taken as sample text. The precision of our model's prototype implementation is far better than simple key word searching.