Research On Intelligent Office Information System Based On Knowledge Management

The intelligent information processing is a research hotspot concerned by many scholars and the rapid development of computer science provides a wide prospect for its theoretic study and practical applications. Especially, the development of the information system and the artificial intelligence makes it progress dramatically. Combining the achievements of those two fields properly and the effectively applications of the intelligent information processing are a rich, colorful and challenging task. Based on the workflow technology, this dissertation focuses on how to use the known knowledge like the data mining technology and decision support technology, the in-depth discussion with respect to knowledge management of office systems. The following results are achieved.1. Based on the workflow reference model and the workflow meta model, the information model of intelligent workflow engine in the office information system is developed. The process regulation and right control methods are presented by data tables and logical charts and illustrated by a workflow case study.2. From the present situation of files distribution of office systems, the corresponding expert system is established by applying for rules and rule engine technology. Based on the information of the source and type of file, files are handed out to the designated departments and units by rule reasoning. At the same time, an automatic file distribution method is shown based on rule reasoning.3. From the status of documents retrieval based on Fuzzy matching algorithm and comprehensive needs of both internal and external search, document database of meeting his own needs in the workplace is built in connection with each office staff. A directory index is created and a document retrieval system of meeting personalized needs is established by classification.4. Focused on common needs of all kinds of statistical data during office and based on characteristics of data extraction’s demand, the pattern of the data extraction framework based on database technology is established by the classification of the total data, the average data and the relative data. The corresponding algorithm is designed and the method of service professional data extraction is shown.5. Aiming to office needs of report writing, a report model and the data sheets is established based on the basic framework of decision support systems and combination of GIS and starting from the keyword focus of the report. The corresponding algorithm is designed and one kind of auto-focus visual report generation method is shown.This dissertation focuses on the urgent need of intelligent office information systems and investigates the problems of automatic distribution on documents, document retrieval, data extraction and report automatically generated under knowledge management. Many achievements of information system, data mining, database technology and other fields of knowledge are used and some results on intelligent office information systems are obtained as a theoretic foundation for the popularization of the information system and the rapid development of the information society.