Using conceptual structures to translate data models: Concepts, context and cognitive processes
Sowa's conceptual structures work is broadly framed in terms of logic, linguistics, knowledge representation, conceptual analysis and mental models. Recently the CG representation has been proposed as a normative language for metalevel descriptions of traditional data models by the ANSI Information Resource Directory System (IRDS) working group (X3H4). This paper explores some issues that arise from attempts to use ontologies and “crystallized” representations to perform such things as data model translation and integration. Issues and alternate views that grow out of Sowa's knowledge soup metaphor are described and a functional architecture is proposed that addresses some of these issues. The notions of model knowledge as a dynamic and cognitive construction based on contexts is developed and combined with the idea of global workspaces.
KeywordsData Model Conceptual Schema Conceptual Structure Cognitive Agent Functional Architecture
Unable to display preview. Download preview PDF.
- Agre, P.E. (1988). The dynamics structure of everyday life. Unpublished doctoral dissertation, Massachusetts Institute of Technology, Cambridge, MA.Google Scholar
- Berg-Cross G. and Hanna J. “Database Design with Conceptual Graphs,” First International Workshop on Conceptual Graphs, sponsored by IBM Systems Research Institute, Thornwood, NY, 1986.Google Scholar
- Berg-Cross & Price “Acquiring and Managing Knowledge using a Conceptual Structures Approach” IEEE Transactions on Systems, Man and Cybernetics, vol 19:3 Pg 513–527, 1989.Google Scholar
- Berg-Cross G. Multi-Agent Associates for SOAS Planning,” paper for the Symposium on Associate Technology: Opportunities and Challenges, George Mason University, June, 1991.Google Scholar
- Berg-Cross G. “Can a Large Knowledge Base be Built by Importing and Unifying Diverse Knowledge?: Lessons from Scruffy Work., presented at the 6th Annual Workshop on Conceptual Graphs, July 10–13, 1991, Binghampton, NY.Google Scholar
- Clancey B. Model construction operators, Artificial Intelligence, 1992.Google Scholar
- Diederich J. and Milton J. “Creating Domain Specific Metadata for Scientific Data and Knowledge Bases,” IEEE Trans on Knowledge and Data engineering, Vol. 3, #4, Dec. 1991.Google Scholar
- Mark, William Panel on Achieving Large Scale Knowledge Sharing, in Proceedings of KR'91 2nd Int. Conference, Principles of Knowledge Representation and Reasoning, 1991.Google Scholar
- Sowa, John Crystallizing Theories out of knowledge soup, in Intelligent Systems: State of the Art and Future Directions (Eds.) Rasa and Semankova, Ellis Horwood, 1990, pp 456–487, 1990.Google Scholar
- Tsichritzis D. & Lochovsky F., Data Models, Prentice-Hall Inc. 1984.Google Scholar
- X3H4.6/92-001 Model Unification for Data Repositories, March 1992Google Scholar