Abstract
The relational data model has become the standard for mainstream database processing despite its well-known weakness in the area of representing application semantics. The research community's response to this situation has been the development of a collection of semantic data models that allow more of the meaning of information to be presented in a database. The primary tool for accomplishing this has been the use of various data abstractions, most commonly: inclusion, aggregation and association. This paper develops a general model for analyzing data abstractions, and then applies it to these three best-known abstractions.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.