Deploying Decision Support Systems Using Semantic Web Technologies

Deploying Decision Support Systems Using Semantic Web Technologies

Lars Ludwig (National University of Ireland, Ireland) and David O’Sullivan (National University of Ireland, Ireland)
DOI: 10.4018/978-1-4666-1746-9.ch004
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Abstract

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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Semantic Knowledge Management

Semantic web technology such as the Resource Description Framework (RDF) and the Web Ontology Language (OWL) has been advocated in the research community for enabling electronic commerce (Fensel, 2001), and knowledge management (Decker, 2002). Electronic commerce is further supported by Semantic Web Services (SWS) providing mechanized service discovery, parameterization, composition, and execution of web services (Fensel, 2004). For knowledge management in semantic webs three principal approaches have been advanced: (i) semantic annotations, (ii) (semantic) document management, and (iii) ontology management. In this paper we use the terms ‘knowledge management’ and ‘decision support systems’ interchangeably.

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