liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
The use of Semantic Web technologies for decision support – a survey
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. (MDA)ORCID iD: 0000-0003-0036-6662
2014 (English)In: Semantic Web, ISSN 1570-0844, E-ISSN 2210-4968, Vol. 5, no 3, 177-201 p.Article in journal (Refereed) Published
Abstract [en]

The Semantic Web shares many goals with Decision Support Systems (DSS), e.g., being able to precisely interpret information, in order to deliver relevant, reliable and accurate information to a user when and where it is needed. DSS have in addition more specific goals, since the information need is targeted towards making a particular decision, e.g., making a plan or reacting to a certain situation. When surveying DSS literature, we discover applications ranging from Business Intelligence, via general purpose social networking and collaboration support, Information Retrieval and Knowledge Management, to situation awareness, emergency management, and simulation systems. The unifying element is primarily the purpose of the systems, and their focus on information management and provision, rather than the specific technologies they employ to reach these goals. Semantic Web technologies have been used in DSS during the past decade to solve a number of different tasks, such as information integration and sharing, web service annotation and discovery, and knowledge representation and reasoning. In this survey article, we present the results of a structured literature survey of Semantic Web technologies in DSS, together with the results of interviews with DSS researchers and developers both in industry and research organizations outside the university. The literature survey has been conducted using a structured method, where papers are selected from the publisher databases of some of the most prominent conferences and journals in both fields (Semantic Web and DSS), based on sets of relevant keywords representing the intersection of the two fields. Our main contribution is to analyze the landscape of semantic technologies in DSS, and provide an overview of current research as well as open research areas, trends and new directions. An added value is the conclusions drawn from interviews with DSS practitioners, which give an additional perspective on the potential of Semantic Web technologies in this field; including scenarios for DSS, and requirements for Semantic Web technologies that may attempt to support those scenarios.

Place, publisher, year, edition, pages
IOS Press, 2014. Vol. 5, no 3, 177-201 p.
Keyword [en]
Decision Support Systems, Semantic Web
National Category
Information Systems Computer Science
URN: urn:nbn:se:liu:diva-88418DOI: 10.3233/SW-2012-0084ISI: 000357871400002OAI: diva2:603410
Semantic Technologies for Decision Support
Available from: 2013-02-05 Created: 2013-02-05 Last updated: 2015-08-11

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Blomqvist, Eva
By organisation
Human-Centered systemsThe Institute of Technology
In the same journal
Semantic Web
Information SystemsComputer Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 119 hits
ReferencesLink to record
Permanent link

Direct link