Using Automated Text Categorization Technology To Design Educational Material Management Software

Confronting the need of effective approaches to manage a mass of texts and multimedia materials, the author attempts to develop an educational material management software with automatic text classification ability, based on the research achievements done by other people and the creations or adaptable applications of his own. This paper first discusses the limitation of "courseware" to introduce the conception of "integrable-ware". Then it puts forward the necessity of building up material databases based on the integrable-ware conception. After that, the author gives his views on how to categorize and manage this database, and then points out the possibility, necessity and urgency of applying AI (Artificial Intelligence) technology in teaching practice. In the second chapter, the author introduces the key technology of text categorization and multimedia database and then sums up the research development in this field. In the third one, the author introduces the design of program in details. With a reference of others' work, he designs a set of Chinese language segmentation and categorization algorithm without the support of dictionaries. Thus he develops an automatic text classification software and suggests further solutions to problems such as how to apply this technology to a multimedia database, and realize the media search based on contexts not keywords. With that, the author gives the main plan and overall design of his software. All these are realized in the last chapter, in which, the author introduces some of the functions already realized together with its technical details. Finally, the author summarizes the deficiencies in his current work and the way of further improvement. In a word, this paper, with all its work, is a practical and beneficial exploration in the effective categorization and management of teaching material during the process of Educational Informatization.