Research On Techniques Of Temporal Databases Based On Loan Classification

Time is an objective property of the ubiquitous nature. With rapid development and wide application of the database and information technology, the temporal information processing demand more and more pressing。In the 20th century and the early 80s, the temporal database technology to the handling of temporal information has opened up a new path. After these years a large number of computer workers in research and practice, with the temporal database theory, data models, database languages and application of technology has achieved fruitful results, it has become an important and dynamic discipline orientation in databases and information systems field.This paper first introduced the topic of theoretical and practical significance of research situation, as well as the main content of this article and organizational structure,then introduced some basic concepts and temporal data model of temporal database. Followed by the introducing the theory of Allen interval algebra, interval algebra will be the relationship between the intervals is converted to the relationship between the points. Finally introduction to the time-based loan classification system's temporal database design concepts and system architecture, highlighting the system design of temporal data processing and the design of temporal query processing.Main completed the following tasks:1. The Allen interval algebra,by using the realationships between interval and point, change the intervals relationships into the relationship between points for the system to address the practical need to provide theoretical basis.2. Using the meta-group Snodgrass time scale representation method used in the system to the relational database model extended to temporal data model.3. Use TemplSQL temporal query language, designed and completed the temporal query into a traditional database query module the middle of the Tenses.