Objects and Goals Extraction from Semantic Networks : Applications of Fuzzy SetS Theory

TL;DR

This paper surveys fuzzy and semantic methods for knowledge extraction, focusing on their ability to handle vagueness and uncertainty in the process, and evaluates their effectiveness.

Contribution

It provides a comprehensive overview of fuzzy and semantic approaches, assessing their success in creating flexible knowledge extraction systems.

Findings

Fuzzy and semantic methods enhance handling of vagueness.

Some approaches effectively address uncertainty.

The survey identifies gaps and future directions.

Abstract

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