DocumentCode :
3259892
Title :
Application of the abstractional concept mapping theory for the interpretation of novel metaphor
Author :
Dierbach, Charles
Author_Institution :
Dept. of Comput. & Inf. Sci., Towson Univ., MD, USA
fYear :
2005
fDate :
23-25 May 2005
Firstpage :
157
Lastpage :
162
Abstract :
In this paper, we discuss the current status of an analogy generation environment based on the abstractional concept mapping theory, and in particular, its potential application for interpretation of novel metaphors in natural language processing. Current work involves the ultimate implementation of an integrated analogy generation, learning, and problem-solving environment based on this theory. We discuss here what has been accomplished so far towards this end (a) an initial, partial implementation of the analogy model, (b) implementation of a set of tools for use in the analogy environment, and (c) investigation of the application of such a system as an embedded component of a natural language processing system.
Keywords :
case-based reasoning; learning (artificial intelligence); natural languages; problem solving; abstractional concept mapping theory; analogy generation environment; integrated analogy generation; learning; natural language processing; novel metaphor interpretation; problem solving; Application software; Artificial intelligence; Computational modeling; Knowledge representation; Logic; Natural language processing; Problem-solving; Robustness; Software engineering; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2005 and First ACIS International Workshop on Self-Assembling Wireless Networks. SNPD/SAWN 2005. Sixth International Conference on
Print_ISBN :
0-7695-2294-7
Type :
conf
DOI :
10.1109/SNPD-SAWN.2005.22
Filename :
1434883
Link To Document :
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