文件名称：A Business Intelligence System
文件大小：616KB
文件格式：PDF
更新时间：2012-05-09 15:23:39
Business Intelligence database
An automatic system is being developed to disseminate information to the various sections of any industrial, scientific or government organization. This intelligence system will utilize data-processing machines for auto-abstracting and auto-encoding of documents and for creating interest profiles for each of the “action points” in an organization. Both incoming and internally generated documents are automatically abstracted, characterized by a word pattern, and sent automatically to appropriate action points. This paper shows the flexibility of such a system in identifying known information, in finding who needs to know it and in disseminating it efficiently either in abstract form or as a complete document. Introduction Efficient communication is a key to progress in all fields of human endeavor. It has become evident in recent years that present communication methods are totally inadequate for future requirements. Information is now being generated and utilized at an ever-increasing rate because of the accelerated pace and scope of human activities and the steady rise in the average level of education. At the same time theg rowth of organizations and increased specialization and divisionalization have created new barriers to the flow of information. There is also a growing need for more prompt decisions at levels of responsibility far below those customary in the past. Undoubtedly the most formidable communications problem is the sheer bulk of information that has to be dealt with. In view of the present growth trends, automation appears to offer the most efficient methods for retrieval and dissemination of this information. During the past decade significant progress has been made in applying machines to the processes of information retrieval. Automatic dissemination has so far been given little consideration; however, unless substantial portions of human effort in this area can be replaced by automatic operations, no significant over-all improvement will be achieved. Even the information retrieval processes mechanized so far still require appreciable human effort to organize the information before it is entered into machines. It is believed that techniques now being developed will greatly contribute to the solution of the problem by extending automatic processes to the preparatory phases of mechanical information-