Research And Implementation On Domain Knowledge Service System Based On Knowledge Element

With the development of computer and network technology, and the urgent needs of knowledge resources management and organization from enterprises, the knowledge management and knowledge service become a hot research issues in the field of knowledge. Knowledge service is the integration of knowledge and service, in this paper, the knowledge service is designed to gathering and collating the knowledge asset in the field of oilfield development by using knowledge service concept system, and showing via internet, and then providing services base on field knowledge in the interation process between user and system.The guideline of knowledgement service system in the field of oilfield development and design is using the methods of modular and hierarchical, dividing the knowledge of oilfield development into multi-tier and multi-knowledge elements, At the same time, use interdisciplinary field-level expertise, knowledge element as the interface of professional books, scientific and technical literature, industry standards etc. to implement knowledge links, and further to expand the scope of knowledge services and content, complete the update from information service mode to knowledge organization and knowledge service base on knowledge element. And then, in order to implement the management and service based on knowledge, the user can direct query by click or by the name of knowledge through the knowledge map and knowledge search and knowledge push services provided by this system.In this paper, knowledge of oil field services background and related research are reviewed. On the basis of classification, design knowledge element model and knowledge element link model of domain knowledge, and then give the domain knowledge warehouse construction method, propose knowledge element oriented knowledge Service system of the oil fields and implement knowledge management and knowledge services system. The results of research knowledge services in this paper can be applied to other areas, such as knowledge-based enterprises and organizations, knowledge-intensive industries.