Projection in Conceptual Graphs Using Neural Networks
Published In
Northcon - Conference Record
Document Type
Citation
Publication Date
12-1-1995
Abstract
A technique, Transitive Supertype Graph, used to train a neural network as part of an overall system for processing of Conceptual Graph queries is outlined. Neural network techniques for CG applications rely on certain features of the problem context, particularly that the number of distinct concepts is reasonable size. Because the technique work on a much reduced form of the CG, topological distinctions between graphs containing same concepts are not used in the query process, so further processing must weed out erroneous matches.
Locate the Document
https://doi.org/10.1109/NORTHC.1995.485025
DOI
10.1109/NORTHC.1995.485025
Persistent Identifier
https://archives.pdx.edu/ds/psu/37319
Citation Details
Willett, K., & Lendaris, G. (1995, October). Projection in conceptual graphs using neural networks. In IEEE Technical Applications Conference and Workshops. Northcon/95. Conference Record (p. 120). IEEE.