ACM SIGMOD Anthology TKDE dblp.uni-trier.de

Knowledge Representation for Natural Language Understanding: The LLILOG Approach.

Christoph Beierle, Udo Pletat, Rudi Studer: Knowledge Representation for Natural Language Understanding: The LLILOG Approach. IEEE Trans. Knowl. Data Eng. 5(3): 386-401(1993)
@article{DBLP:journals/tkde/BeierlePS93,
  author    = {Christoph Beierle and
               Udo Pletat and
               Rudi Studer},
  title     = {Knowledge Representation for Natural Language Understanding:
               The L$_{\mbox{LILOG}}$ Approach},
  journal   = {IEEE Trans. Knowl. Data Eng.},
  volume    = {5},
  number    = {3},
  year      = {1993},
  pages     = {386-401},
  ee        = {db/journals/tkde/BeierlePS93.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX The logic-based knowledge representation language LLILOG, which is used to represent both the semantic background knowledge as well as the information extracted from German texts within the LLILOG project, is discussed. LLILOG integrates frame-like feature-value descriptions used in computational linguistics into an order-sorted predicate logic framework. The basic design principles of LLILOG and examples of how LLILOG it is used to model real world knowledge are presented. The implementation of the first LLILOG prototype is described. A formal semantics definition is provided.

Abstract

Copyright © 1993 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

Joint ACM SIGMOD / IEEE Computer Society Anthology

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