Partitioned networks for the mathematical modeling of natural language semantics.
Partitioned networks for the mathematical modeling of natural language semantics.
A net structure for semantic information storage, deducation and retrieval
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
Active semantic networks as a model of human memory
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Implementing a semantic interpreter using conceptual graphs
IBM Journal of Research and Development
Contexts and Views in Object-Oriented Languages
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Progress on a computer based consultant
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Network regions: alternatives to the winner-take-all structure
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Issues in knowledge representation for project management
PKWBS-W'84 Proceedings of the 1984 IEEE conference on Principles of knowledge-based systems
Task-Realization models in contextual graphs
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Brief paper: Knowledge-based man-machine systems
Automatica (Journal of IFAC)
An introduction to ontology based structured knowledge base system: knowledge acquisition module
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
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An augmentation of semantic networks is presented in which the various nodes and arcs are partitioned into "net spaces." These net spaces delimit the scopes of quantified variables, distinguish hypothetical and imaginary situations from reality, encode alternative worlds considered in planning, and focus attention at particular levels of detail.