Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Temporal, spatial, and constraint handling in the Conceptual Programming environment, CP
Journal of Experimental & Theoretical Artificial Intelligence - Special issue: conceptual graphs workshop
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Core Jini
Specialization: Where Do the Difficulties Occur?
Proceedings of the 7th Annual Workshop on Conceptual Structures: Theory and Implementation
Contexts: A Formal Definition of Worlds of Assertions
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
The Representation of Semantic Constraints in Conceptual Graph Systems
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
A Semantic Validation of Conceptual Graphs
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Constraints on Processes: Essential Elements for the Validation and Execution of Processes
ICCS '99 Proceedings of the 7th International Conference on Conceptual Structures: Standards and Practices
The Extensional Semantics of the Conceptual Graph Formalism
ICCS '00 Proceedings of the Linguistic on Conceptual Structures: Logical Linguistic, and Computational Issues
Refinement of Conceptual Graphs
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Reasoning with Ontologies by Using Knowledge Conjunction in Conceptual Graphs
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Conceptual graphs for semantic web applications
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
Concept type hierarchy as ontology: an example historical knowledge base
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
| Hi-index | 0.00 |
As soon as Web documents embed knowledge in a format processable by computers, it is expected that knowledge-based services will be offered on-line, through the Web. These applications will query the Web to seek the information relevant to their task. Knowledge providers will host that knowledge and will make it available to these various applications. Agent technology is probably best suited to implement knowledge servers. This paper sketches how conceptual graphs (CG) based software agents could play the role of knowledge providers; as an example, it uses a situation where some agent must answer a query sent by some other agent. In doing so, this paper shows how interoperability problems between communicating conceptual graph based systems can be detected automatically. It also shows how semantic constraints can be used to implement semantic filters, filters required to control, on a semantic level, the information that is exchanged between communicating systems.