Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Marcos Aurelio Domingues (Author) Other; Carlos Soares (Author) FEUP; Alipio Mario Jorge (Author) FCUP

Journal

Title: Information Systems and e-Business Management

Vol. 11

Pages: 569-595

ISSN: 1617-9846

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 7 Citations

Scientific classification

FOS: Social sciences > Economics and Business

Other information

Authenticus ID: P-008-H92

DOI: 10.1007/s10257-012-0209-5

Abstract (EN): The goal of many web portals is to select, organize and distribute content in order to satisfy its users/customers. This process is usually based on meta-data that represent and describe content. In this paper we describe a methodology and a system to monitor the quality of the meta-data used to describe content in web portals. The methodology 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 system to support the proposed methodology. We have implemented this system 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: 27