Semantic Web Technologies for archive indexing and classification

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 project 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). In addition, it tries to ensure that Arabic language has appropriate support with semantic web tools. It was decided that Java programming language should be used to develop the program with domain ontology as data knowledge for this project. On completion of the thesis all objectives in the introduction chapter were achieved and various conclusions were made regarding project program. Over the course of this project, various areas of further work are discussed including to developing a program that will be platform independent and also to try to develop programs for similar languages such as Persian and Urdu.