Abstract
A method in formatting unstructured sentences from the source corpus to a specific knowledge representation such as RDF is needed. A method for RDF entity formations from a paragraph of text using statistical language model based on N-gram is introduced. The implementation of RDF entity formation is applied on natural language query for information retrieval of the Islamic knowledge. 300 concepts from the English translation of Holy Quran with 350 relationships are used as a knowledge base. We evaluate our approach on collection of queries from the Islamic Research Foundation website with a total, 82 queries and compare the performance against previous method used in FREyA. The result shown the proposed method improved 17.07% on the accuracy of the natural language formulation analysis, which tested on search strategy. It shows the increment on recall and precision with 7% and 3%.
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