Semantic Web Technologies for classification and indexing of E-governmen archive
Aburawi, Yousef A
Albaour, Abdulbaset S
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Semantic web Meta data and natural language processing technologies can be combined to produce systems that working more efficiently for classification and retrieval of documents. The main aim of this Paper is applying semantic web technologies and tools for indexing, classifying, and retrieving Arabic content documents within E-government archive by using semantic web annotation technology and natural language processing (NLP).