Research On User View Oriented Rapid Modeling Of Conceptual Data Model

With the rapid development of information technology, database technology has permeated every realm of economy and society, and has been generally acknowledged as one of the most effective methods of the information resource development, management and service. As the foundation and core technology of building database and data base application system, database design has particularly drawn wide attention from various circles of society, and has become key research content in database technology field.According to the standardized design, database design is usually divided into six stages, including requirement analysis, conceptual structure design, logical structure design, physical structure design, database implementation, operation and maintenance. Among them, conceptual structure design is the process forming a conceptual data model independent of a specific database system through synthesis, induction and abstraction of user requirements. As a bridge and link of the real world and the machine world, conceptual structure design, particularly the quality and efficacy of the conceptual data modeling determines the success or failure of the construction of database system. Therefore, conceptual structure design plays a very important role in the database design.Aiming at the present situation that conceptual data modeling mainly by manual designing, and which quality and effectiveness over-reliance on designers' personal experience and standard, this paper proposes a rapid modeling method of conceptual data model based on user views. It can improve the efficiency of conceptual data modeling by analysis various complex common structural and semantic features, to realize the automatic extraction of entities implied in user views and their data structure information, and then convert to ER model automatically. Main research activities include:the normalized treatment of complex user views and unified formal description method, the concept mapping system between user views and E-R model, extraction and classification algorithm for data items of user views, and the conversion method from data structure features of user views to the ER model. On this basis, It preliminary verifies the accuracy and validity of research conducted by developing a prototype system. Conceptual data model automated modeling technology is a challenging research work, due to time and own standard limited, this paper studies still lack depth and exist a great deal of insufficient, there will be continuous improvement in the follow-up research process.