Monitoring the quality of meta-data in web portals using statistics, visualization and data mining

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

Soares, C (Author) FEP; Jorge, AM (Author) FEP; Domingues, MA (Author) Other

Conference proceedings International

Title: Progress in Artificial Intelligence, 12th Portuguese Conference on Artificial Intelligence, EPIA 2005, Covilhã, Portugal, December 5-8, 2005, Proceedings

Pages: 371-382

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-000-6MW

DOI: 10.1007/11595014_37

Abstract (EN): We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It is based on the analysis of the meta-data using statistics, visualization and data mining tools. The methodology enables the site's editor to detect and correct problems in the description of contents, thus improving the quality of the web portal and the satisfaction of its users. We also define a general architecture for a platform to support the proposed methodology. We have implemented this platform and tested it on a Portuguese portal for management; executives. The results validate the methodology proposed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12