Fuzzy data mining for querying and retrieval of research archival information

This paper discusses the design of a prototype information/intelligent system (FUZZYBASE) to facilitate intelligent and fast retrieval of information that is of interest to scientific research communities with specific needs, such as getting relevant technical information fast. It involves the intelligent fuzzy retrieval of information, crisp retrieval of catalogued information, high end computer and communications infrastructure, the potential to be a testbed for future research in databases, retrieval algorithms, and networking, and so on. The prototype components of our design include a subsystem to automatically build a profile for each user using their CV or other information, a push technology subsystem, a new electronic journal, tutorial links to sites with relevant scientific information and research, pointers to electronic abstracts, tables of contents of other journals as well as other WWW pages, and links to other relevant sites, links to various conferences, calls for papers, abstracts, and conference papers, a bulletin board, a querying or information retrieval system, and a front end to the fuzzy retrieval component with a specification subsystem using natural language