A Multi Facet Representation of a Fuzzy Ontology Population

Authors:
Carmen De Maio;Giuseppe Fenza;Vincenzo Loia;Sabrina Senatore
Affiliations:
-;-;-;-
Venue:
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2009

Citing 4
Cited 1

Formal Concept Analysis: Mathematical Foundations

Formal Concept Analysis: Mathematical Foundations
Ontology Learning for the Semantic Web

IEEE Intelligent Systems
Automatic Fuzzy Ontology Generation for Semantic Web

IEEE Transactions on Knowledge and Data Engineering
Towards an automatic fuzzy ontology generation

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems

Hierarchical web resources retrieval by exploiting Fuzzy Formal Concept Analysis

Information Processing and Management: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This work proposes a system process for extracting automatically a fuzzy ontology from a collection of web resources. The approach exploits the Formal Concept Analysis theory for structuring the elicited knowledge, viz. concepts and relations embedded in the resources information. A simple graphical interface provides a multi-facets view which allows final users to navigate across the concepts and the relative population.