Modeling concepts for VLSI CAD objects
ACM Transactions on Database Systems (TODS)
Applications of AI in Engineering
Computer - Special issue on expert systems in engineering
On knowledge base management systems: integrating artificial intelligence and d atabase technologies
On knowledge base management systems: integrating artificial intelligence and d atabase technologies
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
Development of an object-oriented DBMS
OOPLSA '86 Conference proceedings on Object-oriented programming systems, languages and applications
OOPSLA '87 Conference proceedings on Object-oriented programming systems, languages and applications
Database description with SDM: a semantic database model
ACM Transactions on Database Systems (TODS)
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
An ALGOL-based associative language
Communications of the ACM
Data Models
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Managing Complex Knowledge in Natural Sciences
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
RIDE '96 Proceedings of the 6th International Workshop on Research Issues in Data Engineering (RIDE '96) Interoperability of Nontraditional Database Systems
Basic properties for biological databases: Character development and support
Mathematical and Computer Modelling: An International Journal
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The authors examine a particular type of domain-based metadata for which a complete ready-made conceptual framework is not and probably cannot be directly supported in predefined data models of knowledge-based representation paradigms. The data or knowledge base designer thus has the burden of sometimes working outside a familiar and otherwise appropriate model. The authors discuss issues arising in formulating certain domain-based metadata extensions and provide guidelines for developing them. These results derive from a continuing effort to create a knowledge base to support research on biological organisms. The added semantics are used to support a more flexible and reliable system for identification.