Title :
Knowledge representation for natural language understanding: the L LILOG approach
Author :
Beierle, Christoph ; Pletat, Udo ; Studer, Rudi
Author_Institution :
IBM Germany, Stuttgart, Germany
fDate :
6/1/1993 12:00:00 AM
Abstract :
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 LILOG project, is discussed. LLILOG integrates frame-like features-value descriptions used in computational linguistics into an order-sorted predicated logic framework. The basis design principles of LLILOG and examples of how LLILOG is used to model real world knowledge are presented. The implementation of the first LILOG prototype is described. A formal semantics definition is provided
Keywords :
knowledge representation; natural languages; LLILOG approach; computational linguistics; formal semantics; frame-like features-value descriptions; logic-based knowledge representation language; natural language understanding; order-sorted predicated logic framework; semantic background knowledge; Artificial intelligence; Collaboration; Computational linguistics; Data mining; Educational institutions; Knowledge based systems; Knowledge representation; Logic; Natural languages; Prototypes;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
