Abstract
A method of acquiring knowledge from natural language (NL) and multiple experts into a standard knowledge representation is provided by the PCCG (Personal Constructs as Conceptual Graphs) operational tracked grid. A tracked grid is similar to a repertory grid with the difference that operational synthetic problems can be acquired naturally via an NL interface. The PCCG tracked grid provides an ability to guide a semi-automatic process of converting NL phrases to conceptual graphs. These phrases may be either stand-alone sentences or the elements and constructs of a tracked grid. If the phrases are from grids and from different experts then the PCCG operational grid will use graph similarity in close conjunction with case based (CB) reasoning to guide consistency checking and integration of the knowledge of the different experts.
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Randy P. Wolf and Harry S. Delugach, “Knowledge Acquisition via the Integration of Repertory Grids and Conceptual Graphs”, in Auxiliarry Proceedings, 4th International Conference on Conceptual Structures, (pp. 108–120), P.W. Eklund, G. Ellis and G. Mann, eds., 1996, University of New South Wales, Sydney, Australia, Aug. 19–23 1996. ISBN 0-7334-1387-0
Randy P. Wolf and Harry S. Delugach, “An Example of Knowledge Acquisition Via Tracked Grids”, Randy P. Wolf and Harry S. Delugach, in 10th European Workshop on Knowledge Acquisition, Modeling, and Management (submitted) Catalonia, Spain, Oct. 15–18, 1997.
Randy P. Wolf and Harry S. Delugach, “Knowledge Acquisition Via Tracked Repertory Grids”, Technical Report No. TR-UAH-CS-1996-02, Computer Science Department, Univ. of Alabama in Huntsville, 1996, ftp://ftp.cs.uah.edu/pub/techreports/TRUAH-CS-1996-02
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© 1997 Springer-Verlag Berlin Heidelberg
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Wolf, R.P., Delugach, H.S. (1997). PCCG: An operational tracked grid for creating conceptual graphs. In: Lukose, D., Delugach, H., Keeler, M., Searle, L., Sowa, J. (eds) Conceptual Structures: Fulfilling Peirce's Dream. ICCS 1997. Lecture Notes in Computer Science, vol 1257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027908
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DOI: https://doi.org/10.1007/BFb0027908
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