DocumentCode :
2612955
Title :
Deduction over mixed-level logic representations for text passage retrieval
Author :
Hess, Michael
Author_Institution :
Dept. of Comput. Sci., Zurich Univ., Switzerland
fYear :
1996
fDate :
16-19 Nov. 1996
Firstpage :
383
Lastpage :
390
Abstract :
A system is described that uses a mixed-level representation of (part of) the meaning of natural language documents (based on standard Horn clause logic) and a variable-depth search strategy that distinguishes between the different levels of abstraction in the knowledge representation to locate specific passages in the documents. Mixed-level representations as well as variable depth search strategies are applicable in fields outside that of NLP.
Keywords :
Horn clauses; knowledge representation; natural languages; query formulation; Horn clause logic; abstraction; knowledge representation; mixed-level logic representations; natural language document meaning; text passage retrieval; variable-depth search strategy; Artificial intelligence; Data mining; Information retrieval; Knowledge representation; Logic; Morphology; Natural language processing; Natural languages; Optical computing; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-8186-7686-7
Type :
conf
DOI :
10.1109/TAI.1996.560480
Filename :
560480
Link To Document :
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