Intelligent knowledge extraction from the web

Abstract:

Many websites are in general poorly defined and its users are not able to find the information they need. That is the reason why many papers are addressed to propose techniques able to find the right information for a user. Most of these techniques focus on finding the required information in the whole Internet. Many times the owner of the website gives incomplete/imprecise information with low level of usefulness for the user. The re-structuring of the information is many times enough for detecting lacks of information, inconsistencies and imprecisions. However this work is normally very difficult without losing performances of the website. The authors have developed a novel application to exploit existing information in a website in a more profitable way restructing the information without the intervention of the content provider. This paper describes the author's experience during their participation in the European Commission ESPRIT 29158 FLEX Project.

Año de publicación:

2003

Keywords:

• Data Mining
• Information Retrieval
• Imprecise information
• Knowledge Extraction

Fuente:

scopus