Data standardization in heterogeneous data bases through the use of data abstraction

摘要

Data bases containing inconsistent data may be reformatted using software tools based on data abstractions. In this study, heterogeneous bibliographic information from geographically distributed locations are integrated by using the message-object model to implement data abstraction methodologies. Classes are developed to define the data abstractions that correspond to the user's view of the data. The recognition of conceptually similar objects with dissimilar formats is accomplished by the methods associated with class abstraction. By this technique generic classes are developed that may be used to standardize and reformat a large class of bibliographic data base information.