Implementing a semantic interpreter using conceptual graphs
IBM Journal of Research and Development
Capture, Integration, and Analysis of Digital System Requirements with Conceptual Graphs
IEEE Transactions on Knowledge and Data Engineering
Automatic Integration of Digital System Requirements using Schemata
ICCS '95 Proceedings of the Third International Conference on Conceptual Structures: Applications, Implementation and Theory
ICCS '98 Proceedings of the 6th International Conference on Conceptual Structures: Theory, Tools and Applications
Conceptual Modeling of Digital Systems From Informal Descriptions
MASCOTS '93 Proceedings of the International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems
Learning to Generate CGs from Domain Specific Sentences
ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
On the need to bootstrap ontology learning with extraction grammar learning
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
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This paper defines "behavior extraction" as the act of analyzing natural language sources on digital devices, such as specifications and patents, in order to find the behaviors that these documents describe and represent those behaviors in a formal manner. These formal representations may then be used for simulation or to aid in the automatic or manual creation of models for these devices. The system described here uses conceptual graphs for these formal representations, in the semantic analysis of natural language documents, and for its word-knowledge database. This paper explores the viability of such a conceptual-graph-based system for extracting behaviors from a set of patents. The semantic analyzer is found to be a viable system for behavior extraction, now requiring the extension of its dictionary and grammar rules to make it useful in creating models.