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This paper presents an intelligent system to assist librarians in classification and circulation of books and periodicals. The system is based on a database containing the categories of scientific departments in the Faculty of Specific Education. It is also contains knowledge base that includes most of the words related to these categories. The Distance Vector Classifier Engine is used for text pre-processing classification. K-Nearest Neighbor algorithm and Term Frequency – Inverses Document Frequency are used for classification books and periodicals. The proposed system has achieved accuracy reached to 94.3%.

Building a System based on Intelligent Agencies for Assisting in Classification and Circulation of Books and Periodicals Automatically