DocumentCode :
2419229
Title :
The NVL knowledge representation language
Author :
Hudli, Anand V.
Author_Institution :
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA
fYear :
1989
fDate :
23-25 Oct 1989
Firstpage :
368
Lastpage :
375
Abstract :
Semantic networks are described by means of a formal relational logic called NVL. The characteristic features of this logic are limiter lists and binary predicates. Limiter lists are similar to restricted quantifiers but are more expressive. Use is made of several special binary relations to express the key ideas of semantic networks. The formal semantics of NVL is specified, and the soundness of the axioms and inference rules is proved. Parallel algorithms for unification and inference are also developed. The unification and inference mechanisms of NVL have considerable inherent parallelism, which makes the language suitable for parallel implementation. NVL is based on the structured representation of knowledge and is hence more efficient than predicate logic. However, unlike other knowledge representation languages based on semantic networks, NVL has a clean, formal semantics which eliminates the confusion about what a sentence in the language really means
Keywords :
computational linguistics; formal languages; formal logic; inference mechanisms; knowledge representation; parallel algorithms; NVL knowledge representation language; binary predicates; formal relational logic; formal semantics; inference rules; limiter lists; parallelism; restricted quantifiers; semantic networks; structured representation; unification; Animals; Application software; Artificial intelligence; Birds; Information science; Instruction sets; Intelligent networks; Knowledge representation; Logic; Parallel algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools for Artificial Intelligence, 1989. Architectures, Languages and Algorithms, IEEE International Workshop on
Conference_Location :
Fairfax, VA
Print_ISBN :
0-8186-1984-8
Type :
conf
DOI :
10.1109/TAI.1989.65343
Filename :
65343
Link To Document :
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