Intelligent encoding of concepts in web development retrieval


Autoria(s): Zakos, J.; Verma, B.; Li, X.; Kulkarni, S.
Contribuinte(s)

L. Jiao

H. Selvaraj

B. Verma

X. Yao

Data(s)

01/01/2003

Resumo

The main aim of the proposed approach presented in this paper is to improve Web information retrieval effectiveness by overcoming the problems associated with a typical keyword matching retrieval system, through the use of concepts and an intelligent fusion of confidence values. By exploiting the conceptual hierarchy of the WordNet (G. Miller, 1995) knowledge base, we show how to effectively encode the conceptual information in a document using the semantic information implied by the words that appear within it. Rather than treating a word as a string made up of a sequence of characters, we consider a word to represent a concept.

Identificador

http://espace.library.uq.edu.au/view/UQ:99330

Idioma(s)

eng

Publicador

IEEE Computer Society

Palavras-Chave #Internet #Information retrieval #Knowledge base systems #E1 #280103 Information Storage, Retrieval and Management #700103 Information processing services
Tipo

Conference Paper