A prototype for Knowledge Extraction from Semantic Web based on Ontological Components Construction
| Autor: | Ben Mustapha, Nesrine, Baazaoui, Hajer, Aufaure, Marie-Aude |
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| Přispěvatelé: | SUPELEC-Campus Gif, Ecole Supérieure d'Electricité - SUPELEC (FRANCE), Faivre, Evelyne |
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: | |
| Zdroj: | Proceedings of 3rd International Conference on Web Information Systems and Technologies WEBIST 2007 WEBIST 2007, Mar 2007, Barcelonne, Spain. pp.451-454 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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