Nguyen, Tuan Viet 2012. Enhancing Capabilities of Intelligent Decision Support Systems
with Semantic Web Technologies. Bachelor‟s Thesis. Kemi-Tornio University of Applied
Sciences. Department of Information Processing. Pages 68.
This research is focused on the area of Intelligent Decision Support Systems (IDSSs) and
Semantic Web technologies to provide insight into their potential integration. This research
aims to propose ways in which Semantic Web technologies can be integrated with
Intelligent Decision Support components to enhance their effectiveness and efficiency.
Inspired by the intelligent aspects of the Semantic Web, this work was formed. IDSSs were
chosen as the field to apply Semantic Web technologies. To accomplish the aim of this
work, the backgrounds of the Semantic Web and IDSSs were studied. Afterwards,
potential Semantic Web technologies that can be integrated into IDSSs environments are
proposed. Finally, this work gives implications of this integration and suggests directions
for future research.
On the basis of the research questions listed and the area of research, exploratory research
methodology was chosen. Exploratory research is relevant for this research because it
enabled studies into the Semantic Web and IDSSs technologies to be conducted.
Subsequently, assumptions and theories to their integration could be given. This research
explores and provides suggestions for the integration, not concrete groundings for future
applications. This work makes extensive use of secondary sources such as scientific
journals and books from established authors.
The outputs of this work are ideas in which Semantic Web technologies can aid IDSSs, as
well as a conceptual model of an IDSS environment incorporating SW technologies.
Keywords: decision support systems, intelligent DSS, semantic web, knowledge-based,
semantic web technologies, web services.