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.

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.

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.

Mini-ME Matchmaker and Reasoner for the Semantic Web of Things

2018 ◽  
pp. 262-294 ◽  
Author(s):  
Floriano Scioscia ◽  
Michele Ruta ◽  
Giuseppe Loseto ◽  
Filippo Gramegna ◽  
Saverio Ieva ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Decision Support ◽  
Semantic Web ◽  
Knowledge Bases ◽  
Semantic Web Technologies ◽  
Experimental Performance ◽  
Web Of Things ◽  
Web Technologies ◽  
Constrained Environments ◽  
And Performance

The Semantic Web of Things (SWoT) aims to support smart semantics-enabled applications and services in pervasive contexts. Due to architectural and performance issues, most Semantic Web reasoners are often impractical to be ported: they are resource consuming and are basically designed for standard inference tasks on large ontologies. On the contrary, SWoT use cases generally require quick decision support through semantic matchmaking in resource-constrained environments. This paper describes Mini-ME (the Mini Matchmaking Engine), a mobile inference engine designed from the ground up for the SWoT. It supports Semantic Web technologies and implements both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction, covering, bonus, difference) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, usage scenarios and experimental performance evaluation are presented on PC (against other popular Semantic Web reasoners), smartphone and embedded single-board computer testbeds.

Web-Based Collaborative Spatial Decision Support Systems

2011 ◽  
pp. 285-315 ◽  
Author(s):  
Songnian Li
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
System Design ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Spatial Decision Support Systems ◽  
Web Based ◽  
Web Technologies ◽  
And Performance ◽  
The Web

The rapidly expanding range of Web technology has made it possible to collaboratively make decisions over the Web. This chapter examines some of these Web technologies important to the development of collaborative spatial decision support systems, and identifies their technology impediments and strengths. The outcomes provide a basis for discussing how the existing collaborative spatial decision support systems may be redesigned to take advantage of new Web technologies, and how new collaborative spatial decision support systems may be designed and developed in this Web-based paradigm. Some discussions on selected design and development issues that are important to the development of collaborative spatial decision support systems including system design, user’s impact, and performance are presented.

scholarly journals A Mobile Matchmaker for the Ubiquitous Semantic Web

2016 ◽  
pp. 994-1017 ◽  
Author(s):  
Floriano Scioscia ◽  
Michele Ruta ◽  
Giuseppe Loseto ◽  
Filippo Gramegna ◽  
Saverio Ieva ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Decision Support ◽  
Internet Of Things ◽  
Semantic Web ◽  
Knowledge Bases ◽  
Semantic Web Technologies ◽  
Experimental Performance ◽  
Web Technologies ◽  
Constrained Environments ◽  
And Performance

The Semantic Web and Internet of Things visions are converging toward the so-called Semantic Web of Things (SWoT). It aims to enable smart semantic-enabled applications and services in ubiquitous contexts. Due to architectural and performance issues, it is currently impractical to use existing Semantic Web reasoners. They are resource consuming and are basically optimized for standard inference tasks on large ontologies. On the contrary, SWoT use cases generally require quick decision support through semantic matchmaking in resource-constrained environments. This paper presents Mini-ME, a novel mobile inference engine designed from the ground up for the SWoT. It supports Semantic Web technologies and implements both standard (subsumption, satisfiability, classification) and non-standard (abduction, contraction, covering) inference services for moderately expressive knowledge bases. In addition to an architectural and functional description, usage scenarios are presented and an experimental performance evaluation is provided both on a PC testbed (against other popular Semantic Web reasoners) and on a smartphone.

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

Data Integration in the Geospatial Semantic Web

2011 ◽  
pp. 272-293
Author(s):  
Patrick Maué ◽  
Sven Schade
Keyword(s):  
Decision Support ◽  
Semantic Web ◽  
Real World ◽  
Relevant Information ◽  
Decision Makers ◽  
Semantic Web Technologies ◽  
Domain Experts ◽  
Web Technologies ◽  
Opening Up ◽  
The Web

Geospatial decision makers have to be aware of the varying interests of all stakeholders. One crucial task in the process is to identify relevant information available from the Web. In this chapter the authors introduce an application in the quarrying domain which integrates Semantic Web technologies to provide new ways to discover and reason about relevant information. The authors discuss the daily struggle of the domain experts to create decision-support maps helping to find suitable locations for opening up new quarries. After explaining how semantics can help these experts, they introduce the various components and the architecture of the software which has been developed in the European funded SWING project. In the last section, the different use cases illustrate how the implemented tools have been applied to real world scenarios.

Using the Rhizomer Platform for Semantic Decision Support Systems Development

2010 ◽  
Vol 2 (1) ◽  
pp. 60-80 ◽  
Author(s):  
Roberto García
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
User Interaction ◽  
Data Publishing ◽  
Semantic Web Technologies ◽  
Financial Reports ◽  
Semantic Data ◽  
Semantic Decision ◽  
The Cost

Decision support systems get more useful as they manage to make decisions more informed. However, the cost of information and of combining and making it available in the appropriate context make this a tricky trade-off. Fortunately, Semantic Web technologies make it possible to easily publish and reuse data. But this is not simple data, it is semantic data, which makes it easier to query, browse and combine it. Apart from semantic data, it is also important a user interface that carries all this potential to the user. Rhizomer is a framework for semantic data publishing and user interaction that facilitates building semantic dashboards. It is possible, for instance, to build a simple dashboard on top of semantic data generated from financial reports and incorporate web services that provide specialised ways to interact with semantic data, like showing geo-located resources in a map or events in a timeline.

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