Semantic database modeling: survey, applications, and research issues
ACM Computing Surveys (CSUR)
ACM Computing Surveys (CSUR)
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Aspects: extending objects to support multiple, independent roles
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Building an object-oriented database system: the story of 02
Building an object-oriented database system: the story of 02
Extending object-oriented systems with roles
ACM Transactions on Information Systems (TOIS)
The object data standard: ODMG 3.0
The object data standard: ODMG 3.0
On the representation of roles in object-oriented and conceptual modelling
Data & Knowledge Engineering
A Data Model and Semantics of Objects with Dynamic Roles
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Dynamic Constraints and Object Migration
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
A Relationship Mechanism for a Strongly Typed Object-Oriented Database Programming Language
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
An Object Data Model with Roles
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Objects with Multiple Most Specific Classes
ECOOP '95 Proceedings of the 9th European Conference on Object-Oriented Programming
A Generic Role Model for Dynamic Objects
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Modeling context-dependent information
Proceedings of the 18th ACM conference on Information and knowledge management
Query processing in INM database system
WAIM'10 Proceedings of the 11th international conference on Web-age information management
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Real world objects are essentially networked through various natural and complex relationships with each other. Existing data models such as semantic data models, object-oriented data models, and role models oversimplify and ignore such relationships and mainly focus on the roles that objects play, and properties they have with these roles independent of their relationships. As a result, they fail to naturally and directly model various kinds of relationships between objects, between objects and relationships, and between relationships, and support context-dependent representation and access to object properties. In this paper, we propose a novel data model called Information Networking Model that can overcome these limitations.