Enterprise Index Survey Auxiliary Management System

With the development of information, there has been an increasing number of unstructured information. And it plays an important role in decision of government and enterprise. How to manage the unstructured information efficiently, mine the data and knowledge, extract the implicit information, provide a visual image analysis, and then support the government and enterprise’s decision have become the main issues to be settled urgently.This paper developed a enterprise information management system. The time-series method is mainly to solve the enterprise index information statistics analysis problem. Enterprise’s index information stored in Word, belong to unstructured information. In order to realize the statistical analysis of index information extraction of index, will unstructured information structured is feasible scheme. However, look from information extraction efficiency, artificially read have apparently cannot meet the practical needs, and must use computer related technology; The feasibility of accurate extraction from the look of the text, according to semi-structured characteristics and text information extraction technologies, such as regular expression match, and correlation analysis and statistics method can make the extraction results meet the practical needs, namely realize intelligent identification is feasible machine.In this question for discussion, we mainly have a research in indicator of enterprise documents from the Luanxian enterprise and try to obtain the indicators of the unstructured information, and then provide a visual image analysis. It includes three aspects:First, to design a set of practical information extraction algorithm; second, through the use of the Dundas Chart toolbox, providing visual analysis; third, completed Enterprise Information Management System which meet customers requirement.The beginning of the paper introduced the background of the project, introduced the background of the system and research value. Second, detailing information extraction algorithms and principles of Information Visualization. Third, the paper elaborated the system’ requirement, specifically introduced the system design and implementation. Finally, some possible improvements and future works were presented.