A requirements modeling language and its logic
On knowledge base management systems: integrating artificial intelligence and d atabase technologies
Object oriented programming: an evolutionary approach
Object oriented programming: an evolutionary approach
A practical introduction to denotational semantics
A practical introduction to denotational semantics
Introduction to artificial intelligence
Introduction to artificial intelligence
Software engineering mathematics
Software engineering mathematics
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
Object-Oriented Software Construction
Object-Oriented Software Construction
Data Models
Implementing Abstraction Hierarchies
Proceedings of the Seventh International Conference on Enity-Relationship Approach: A Bridge to the User
Tractatus Logico Philosophicus (Routledge Classics) (Routledge Classics)
Tractatus Logico Philosophicus (Routledge Classics) (Routledge Classics)
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Introduction to Automata Theory, Languages, and Computation (3rd Edition)
Conventional and convenient in entity-relationship modeling
ACM SIGSOFT Software Engineering Notes
Domain analysis working group report: first international workshop on software reusability
ACM SIGSOFT Software Engineering Notes
Object oriented requirements analysis for a model Ada runtime system
WADAS '92 Proceedings of the ninth Washington Ada symposium on Ada: Empowering software users and developers
SBEAVER: a tool for modeling business vocabularies and business rules
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
| Hi-index | 0.00 |
Domain descriptions should represent more than the characteristics of data and the operations on it. They should be "semantic" in the sense that they may represent information such as the meanings of special terms used in the business, as well as goals and rules. ER models are often described as "semantic data models". However, the correspondence between ER and natural language is through syntactic rather than through semantic constructs. Conceptual modeling languages and knowledge representation techniques are more appropriate for representing domain meaning. Modern research in linguistics, semantics, and artificial intelligence provides valuable insight into basic issues regarding such representations. Domain descriptions must use languages based on generally-accepted linguistic and knowledge representation principles.