DocumentCode
3318494
Title
Mapping WordNet to a relational network
Author
Webster, Jonathan J. ; Chow, Ian C.
Author_Institution
City Univ. of Hong Kong, Kowloon, China
fYear
2005
fDate
30 Oct.-1 Nov. 2005
Firstpage
718
Lastpage
722
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/NLPKE.2005.1598830
Filename
1598830
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