Title :
Mapping WordNet to a relational network
Author :
Webster, Jonathan J. ; Chow, Ian C.
Author_Institution :
City Univ. of Hong Kong, Kowloon, China
fDate :
30 Oct.-1 Nov. 2005
Abstract :
This paper discusses the implementation of a lexical knowledge base, based on a conceptualization of the problem domain in terms of relational network notation. In particular, we focus here on the importing of lemmas as instances from WordNet 2.0 into the knowledge base. Relational network notation (RNN) offers a simple yet powerful means for representing lexicogrammatical, semantic and sememic information. RNN is driven by relational network theory and incorporates developments in the theory which have been shown to not only describe but also explain linguistic phenomena in a neurologically plausible manner.
Keywords :
computational linguistics; grammars; knowledge based systems; semantic networks; WordNet mapping; lexical knowledge base; lexicogrammatical information; relational network notation; relational network theory; semantic information; sememic information; Humans; Logic; Natural languages; Ontologies; Psychology; Recurrent neural networks; Relational databases; Spatial databases;
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
Print_ISBN :
0-7803-9361-9
DOI :
10.1109/NLPKE.2005.1598830