A prototype for Knowledge Extraction from Semantic Web based on Ontological Components Construction

Abstract : Adding a semantic dimension to web pages is a response to some problems of the present web and is known as the semantic web. Many methods and methodologies can be found in the literature. Generally, they are dedicated to particular data types like text, semi-structured data, relational data, etc. This paper presents a prototype for knowledge extraction from web pages based on ontological components construction. Our work deals with web pages. We will first study the state of the art of methodologies defined to learn ontologies from texts. Then, we will define architecture of ontological components for the Semantic web. An implementation and experimentation of the proposed architecture are presented.
Document type :
Conference papers
Complete list of metadatas

https://hal-supelec.archives-ouvertes.fr/hal-00255033
Contributor : Evelyne Faivre <>
Submitted on : Wednesday, February 13, 2008 - 4:11:46 PM
Last modification on : Thursday, March 29, 2018 - 11:06:03 AM

Identifiers

  • HAL Id : hal-00255033, version 1

Collections

Citation

Nesrine Ben Mustapha, Hajer Baazaoui, Marie-Aude Aufaure. A prototype for Knowledge Extraction from Semantic Web based on Ontological Components Construction. WEBIST 2007, Mar 2007, Barcelonne, Spain. pp.451-454. ⟨hal-00255033⟩

Share

Metrics

Record views

275