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

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 des...

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Bibliographic Details
Published in:Information systems and e-business management 2013-12, Vol.11 (4), p.569-595
Main Authors: Domingues, Marcos Aurélio, Soares, Carlos, Jorge, Alípio Mário
Format: Article
Language:English
Subjects:
Analysis
Business and Management
Content management software
Customer services
Data analysis
Data mining
Data warehouses
Editors
Enterprise content management
Information Systems Applications (incl.Internet)
Internet
IT in Business
Keywords
Management
Metadata
Methodology
Monitoring
Monitors
Original Article
Publishing
Search engines
Statistics
Studies
Usability
Visualization
Web portals
Websites
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Description
Summary: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.
ISSN:1617-9846
1617-9854
DOI:10.1007/s10257-012-0209-5