Title :
An Intelligent System for Retrieving Economic Information from Corporate Websites
Author :
Domenech, Josep ; de la Ossa, B. ; Pont, Ana ; Gil, Jose A. ; Martinez, Manuel ; Rubio, Albert
Author_Institution :
Univ. Politec. de Valencia, Valencia, Spain
Abstract :
The prompt availability of up-to-date economic indicators is crucial to monitor the economy and to steer the design of policies for promoting business innovation and raising firm competitiveness. Economic indicators usually suffer important lags since they are commonly obtained from official databases or from interviews to a sample of agents, thus limiting the representative ness and usefulness of the information. In a context in which the presence of companies in the World Wide Web is almost an obligation to succeed, corporate websites are connected, in some way, to the firm economic activity. On the basis of this relation, this paper proposes an intelligent system that analyzes corporate websites to produce web indicators related to the economic activity of the firms. This system has been successfully implemented and applied to infer company size characteristics from data gathered from corporate websites. Our results show that relatively large companies provide web content in a foreign language and use proprietary web servers.
Keywords :
Web sites; content management; economic indicators; information retrieval; Web content; Web indicators; Web servers; World Wide Web; business innovation; company size characteristics; corporate Websites; economic information retrieval; economy monitoring; firm competitiveness; firm economic activity; intelligent system; up-to-date economic indicators;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
Conference_Location :
Macau
Print_ISBN :
978-1-4673-6057-9
DOI :
10.1109/WI-IAT.2012.92