Research On Model Of E-government Archive Knowledge Management Based On Semantic Ontology

Archive management is the work which our government attaches great importance to, along with information technology's maturity, archive file's type and the form starts the multiplication, the archive file computerization receives Government departments favor more and more. The archive knowledge management pattern of domestic and foreign E-government makes a shift to the one which takes knowledge base and knowledge service as its core knowledge management pattern. At present the domestic E-government archive knowledge management system has not been developed perfectly, many management patterns can't solve the semantic problem well that the description results of computer aided automatic recognition, can't help the user to locate the field accurately which the information is in, with a result that the emergence of a large number of useless information.Moreover, the conventional information retrieval based on keywords technology can not meet the needs of the user semantics. The theory of semantic ontology as one kind of structurized knowledge description language, it can solve the problem in the field of knowledge management well such as knowledge expression, knowledge organization and so on. This thesis takes semantic ontology theory as the technical basis, the archive knowledge management as its object, makes an in-depth exploration of design and implementation of model of E-government knowledgek management based on semantic ontology. This dissertation consists of six chapters, and the concrete structure of the dissertation is as follows:Part 1 is the introduction charter. To start the research, it first provides the purpose and significance. Second, it makes an investigation and analysis on the achievement that both the domestic and foreign scholars apply semantic ontology technology to the domain of archive knowledge management. Third, this part introduces the source of this thesis. Finally, it describes the main content and innovation.Part 2 is the technical base charter of e-government archive management model. First, it introduces the theory of semantic web and ontology. Second, it makes a detailed account of semantics representation and a method of ontology creation. Third, it explores the semantics ontology technology applied in archive knowledge management from the perspective of conversion of metadata and the ontology deduction mechanism.Part 3 is e-government archive knowledge management charter. First, it introduces the recognition of e-government archive knowledge. Second, the acquisition of e-government archive knowledge is presented. Third, it analysises the organization of e-government archive knowledge from the aspects of representation and storage of archive knowledge. Finally, it points out the retrieval of e-government archive knowledge.Part 4 is the framework and model of e-government archive knowledge management charter. First, it states the design way of model of e-government knowledgek management based on semantic ontology. Second, it examines the main functions of e-government knowledgek management based on semantic ontology. Finally, it designs the architecture of model of e-government knowledgek management based on semantic ontology.Part 5 is the construction of e-government archive knowledge management system model charter. First, it makes an analysis the construction of the data mining module and archive knowledge ontology baseof data layer. Second, it probes into the ontology-based reasoning module and semantic indexing module of semantics ontology layer. Third, it explores the the struts framework of control layer as well as its realization. Finally, it analysises the permission settings and assigning roles, and interact between people and system through user layer and integrated control layer.Part 6 is the summarization of this dissertation and prospect for the research charter. The dissertation summarizes the research work conducted as above, and points out the inadequate matters in the research, and some promising research directions are also given.