A graph-oriented object model for database end-user interfaces
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
GOOD: a graph-oriented object database system
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Hy+: a Hygraph-based query and visualization system
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
GRAS, a graph oriented (software) engineering database system
Information Systems
A query language and optimization techniques for unstructured data
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
A Graph-Oriented Object Database Model
IEEE Transactions on Knowledge and Data Engineering
Queries and Computation on the Web
ICDT '97 Proceedings of the 6th International Conference on Database Theory
GDM: a new graph based data model using functional abstractionx
Journal of Computer Science and Technology - Special section on China AVS standard
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This paper introduces a graph-oriented model for conceptual level design of large, complex information systems. This has been shown to be highly effective to the system designer from the perspectives of maintainability and upgradability. Due to the flat structure and the lack of holding multidimensional data, the relational model does not provide a structural approach to the system designer. The other alternative object oriented model offer the structured approach but also not able to describe various intermodular relationships spread over same or different levels within a data model. The graph data model also allows dynamic regrouping of related entities at the designers' level. We have proposed the appropriate data structure and corresponding DDL has also been developed. Test runs on simulated environment further establish its computational efficiency.