scholarly journals Semantic web and decision support systems

2015 ◽  
Vol 25 (1) ◽  
pp. 79-93 ◽  
Author(s):  
Francisco Antunes ◽  
Manuela Freire ◽  
João Paulo Costa
Keyword(s):  
Decision Support ◽  
Semantic Web ◽  
Decision Support Systems ◽  
Support Systems

scholarly journals Integrating Decision Support and Social Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Francisco Antunes ◽  
João Paulo Costa
Keyword(s):  
Social Networks ◽  
Decision Support ◽  
Semantic Web ◽  
Web 2.0 ◽  
Social Networking ◽  
Decision Support Systems ◽  
Support Systems ◽  
Web Technology ◽  
Semantic Web Technology

We elaborate on the shifting of decision support systems towards social networking, which is based on the concepts of Web 2.0 and Semantic Web technology. As the characteristics of the relevant components are different from traditional decision support systems, we present necessary adaptations when adopting social networks for decision support within an organization. We also present organizational obstacles when adopting/using such systems and clues to overcome them.

Populating Knowledge Based Decision Support Systems

2010 ◽  
Vol 2 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Ignacio García-Manotas ◽  
Eduardo Lupiani ◽  
Francisco García-Sánchez ◽  
Rafael Valencia-García
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Semantic Web ◽  
Decision Support Systems ◽  
Support Systems ◽  
Knowledge Bases ◽  
Organizational Decision Making ◽  
Knowledge Based ◽  
Financial Domain

Knowledge-based decision support systems (KBDSS) hold up business and organizational decision-making activities on the basis of the knowledge available concerning the domain under question. One of the main problems with knowledge bases is that their construction is a time-consuming task. A number of methodologies have been proposed in the context of the Semantic Web to assist in the development of ontology-based knowledge bases. In this paper, we present a technique for populating knowledge bases from semi-structured text which take advantage of the semantic underpinnings provided by ontologies. This technique has been tested and evaluated in the financial domain

Deploying Decision Support Systems Using Semantic Web Technologies

2012 ◽  
pp. 51-61
Author(s):  
Lars Ludwig ◽  
David O’Sullivan
Keyword(s):  
Decision Support ◽  
Semantic Web ◽  
Decision Support Systems ◽  
Programming Languages ◽  
Support Systems ◽  
Web Technology ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Semantic Web Technology ◽  
Technology Industry

Decision support systems are deployed in a wide variety of business applications using a variety of core technologies and programming languages. One of the more promising technologies to evolve in recent year has been the semantic web. The semantic web aims to create more intelligent and machine readable web pages and online applications. The technologies, programming languages and methods of the semantic web are now maturing and standards have emerged that allow semantic web technology to be deployed broadly across information technology industry and the programming community in particular. This paper outlines a set of requirements for programmers considering the development of decision support systems using semantic web technology. Current strategies across the research community are surveyed that deploy semantic web applications. From the discussion of these strategies, ten basic requirements are derived. These requirements combine technological, psychological and philosophical research ideas. By crossing traditional research boundaries, a broad perspective on deploying decision support systems that utilize semantic web technologies is created.

Populating Knowledge Based Decision Support Systems

2012 ◽  
pp. 1-20
Author(s):  
Ignacio García-Manotas ◽  
Eduardo Lupiani ◽  
Francisco García-Sánchez ◽  
Rafael Valencia-García
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Semantic Web ◽  
Decision Support Systems ◽  
Support Systems ◽  
Knowledge Bases ◽  
Organizational Decision Making ◽  
Knowledge Based ◽  
Financial Domain

Knowledge-based decision support systems (KBDSS) hold up business and organizational decision-making activities on the basis of the knowledge available concerning the domain under question. One of the main problems with knowledge bases is that their construction is a time-consuming task. A number of methodologies have been proposed in the context of the Semantic Web to assist in the development of ontology-based knowledge bases. In this paper, we present a technique for populating knowledge bases from semi-structured text which take advantage of the semantic underpinnings provided by ontologies. This technique has been tested and evaluated in the financial domain

Deploying Decision Support Systems Using Semantic Web Technologies

2010 ◽  
Vol 2 (1) ◽  
pp. 49-59
Author(s):  
Lars Ludwig ◽  
David O'Sullivan
Keyword(s):  
Decision Support ◽  
Semantic Web ◽  
Decision Support Systems ◽  
Programming Languages ◽  
Support Systems ◽  
Web Technology ◽  
Semantic Web Technologies ◽  
Broad Perspective ◽  
Web Technologies ◽  
Semantic Web Technology

Decision support systems are deployed in a wide variety of business applications using a variety of core technologies and programming languages. One of the more promising technologies to evolve in recent year has been the semantic web. The semantic web aims to create more intelligent and machine readable web pages and online applications. The technologies, programming languages and methods of the semantic web are now maturing and standards have emerged that allow semantic web technology to be deployed broadly across information technology industry and the programming community in particular. This paper outlines a set of requirements for programmers considering the development of decision support systems using semantic web technology. Current strategies across the research community are surveyed that deploy semantic web applications. From the discussion of these strategies, ten basic requirements are derived. These requirements combine technological, psychological and philosophical research ideas. By crossing traditional research boundaries, a broad perspective on deploying decision support systems that utilize semantic web technologies is created.

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