PERTINENT KNOWLEDGE EXTRACTION FROM A SEMANTIC NETWORK: APPLICATION OF FUZZY SETS THEORY-Reference-Cited by-同舟云学术

PERTINENT KNOWLEDGE EXTRACTION FROM A SEMANTIC NETWORK: APPLICATION OF FUZZY SETS THEORY

Published:2004-09 Issue:03 Volume:13 Page:705-719
ISSN:0218-2130
Container-title:International Journal on Artificial Intelligence Tools
language:en
Short-container-title:Int. J. Artif. Intell. Tools

Author:

OMRI M. N.¹

Affiliation:

1. Department of Technology, Preparatory Institute of Engineering Studies of Monastir, Kairouan Road, 5019 Monastir, Tunisia

Abstract

In this paper we describe an approach to define flexible Knowledge Extraction Systems able to deal with the inherent vagueness and uncertainty of the Extraction process. We also present a short survey of fuzzy and semantic approaches to knowledge extraction. The goal of such approaches is to address if and how some approaches met their goal.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Artificial Intelligence

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218213004001752

Reference34 articles.

1. Progress in the Application of Natural Language Processing to Information Retrieval Tasks

2. MEASURE OF SIMILARITY BETWEEN FUZZY CONCEPTS FOR IDENTIFICATION OF FUZZY USER'S REQUESTS IN FUZZY SEMANTIC NETWORKS

3. RETRIEVAL OF MULTIMEDIA WEB DOCUMENTS AND REMOVAL OF REDUNDANT INFORMATION

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