The Study Of Intelligent Decision Support System Based On Ontology

Knowledge management is an important content for Intelligent Decision Support System(IDSS). It provide the function of knowledge acquisition, knowledge sharing and knowledge reuse for IDSS. Because of the different comprehension of knowledge between individuals, there are many problem, which need to solve, in IDSS's knowledge management.To avoid the diversity and inconsistent expression of sharing knowledge, Ontology is introduced to define the domain semantic common senses. This research of the model of organization knowledge management is guided and realized by building the multiple ontologies system. The main contents of this dissertation are as follow:1. This thesis describes the concept of the Intelligence Decision Support System, the development situation and the challenged and the application domain.2. This thesis introduces the definition, the development and category of ontology, and gives a brief introduction in detail, then brings forward the general steps of building the domain ontology.3. Based on the features of IDSS's structure, the approach of constructing multiple ontologies system is described by using the common and special features of sharing knowledge. The knowledge management tasks are processed by the guidance of the knowledge management meta-ontology and the task ontology, which are in the main ontology of multiple ontologies system. The way of managing the ontologies is discussed subsequently.4.Give an algorithm of computing ontology similarity in the paper, and design corresponding clustering and mapping algorithm for the reuse of heterogeneous ontology.5. On the basis of the characters of multi-Ontology system and cross-domain of IDSS, we design the human-machine interface, data warehouse management and the representation and management of IDSS model, which are based on Ontology...