IRJun 7, 2012
Objects and Goals Extraction from Semantic Networks : Applications of Fuzzy SetS Theory
arXiv:1206.1615v11 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental survey for researchers in knowledge extraction, focusing on fuzzy set theory applications.
The paper surveys fuzzy and semantic approaches to knowledge extraction, aiming to define flexible systems that handle vagueness and uncertainty in the process, and it assesses whether these approaches achieved their goals.
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.