Authors:
Ismael Caballero
1
;
Eugenio Verbo
1
;
Coral Calero
2
and
Mario Piattini
2
Affiliations:
1
Indra Software Labs, UCLM - Indra Research and Development Institute, Spain
;
2
UCLM - Indra Research and Development Institute, Spain
Keyword(s):
Data Quality, Semantic Web, DQRDFS, DQMetadata, ISO 15939, Data Quality Measurement, Quantity of Data Quality.
Related
Ontology
Subjects/Areas/Topics:
Internet Technology
;
Ontology and the Semantic Web
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
;
XML and Data Management
Abstract:
Nowadays, data is of critical importance as a resource. Using data of poor quality can be the source of several problems when developing a project. The World Wide Web is currently the main showcase for a vast amount of data. It would be desirable that machines can process the quality of the data contained on the Web Documents. This paper introduces a new view of the Semantic Web based on the concept of Quantity of Data Quality (QDQ), in which Data Quality issues will be used as a basis to enable machines to process the Semantic Web Documents for different activities like information retrieval or document filtering. This view can open new challenges in Semantic Webs oriented to improve users’ satisfaction with the Internet.