Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Sentence Generation from Conceptual Graphs
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
DB-MAT: Knowledge Acquisition, Processing and NL Generation Using Conceptual Graphs
ICCS '96 Proceedings of the 4th International Conference on Conceptual Structures: Knowledge Representation as Interlingua
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
Task-Dependent Aspects of Knowledge Acquisition: A Case Study in a Technical Domain
ICCS '97 Proceedings of the Fifth International Conference on Conceptual Structures: Fulfilling Peirce's Dream
From Actors to Processes: The Representation of Dynamic Knowledge Using Conceptual Graphs
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Procedural Renunciation and the Semi-automatic Trap
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
An Application of the Process Mechanism to a Room Allocation Problem Using the pCG Language
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
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Many AI systems define, store, ajid manipulate a user model (UM) by knowledge representation means different or separate from the system's knowledge base (KB). This paper describes a UM strategy in a system for generation of NL explanations. The idea is to track the user's requests and to modify the declarative patterns for information retrieval by actors. This allows for dynamic tailoring of the explanations to the user's previous knowledge.