Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
A Unifying View of Some Linear Herbrand Procedures
Journal of the ACM (JACM)
Communications of the ACM
Definitional Mechanisms for Conceptual Graphs
Proceedings of the International Workshop on Graph-Grammars and Their Application to Computer Science and Biology
Toward A Model Of Children''s Story Comprehension
Toward A Model Of Children''s Story Comprehension
Augmented phrase structure grammars
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Artificial intelligence meets natural stupidity
ACM SIGART Bulletin
A conceptual schema for Knowledge-based systems
Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
Improving the performance of question answering with semantically equivalent answer patterns
Data & Knowledge Engineering
Learning of graph-based question answering rules
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
How to search in MPEG-7 based semantic descriptions: an evaluation of metrics
Multimedia Tools and Applications
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Conceptual graphs are both a language for representing knowledge and patterns for constructing models. They form models in the AI sense of structures that approximate some actual or possible system in the real world. They also form models in the logical sense of structures for which some set of axioms are true. When combined with recent developments in nonstandard logic and semantics, conceptual graphs can form a bridge between heuristic techniques of AI and formal techniques of model theory.