SemSLATES: Improving enterprise 2.0 information systems using semantic Web technologies

2009 ◽  
Author(s):  
Alexandre Passant ◽  
Philippe Laublet ◽  
John G. Breslin ◽  
Stefan Decker
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Enterprise 2.0 ◽  
Semantic Web Technologies ◽  
Web Technologies

Web Services in Distributed Information Systems

2010 ◽  
Vol 1 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Xia Zhao ◽  
Tao Wang ◽  
Enjie Liu ◽  
Gordon J. Clapworthy
Keyword(s):  
Information Systems ◽  
Web Services ◽  
Semantic Web ◽  
Computer Hardware ◽  
Distributed Information Systems ◽  
Semantic Web Technologies ◽  
Distributed Information ◽  
Web Technologies ◽  
Business Goals ◽  
Technical Issues

Distributed information systems are growing rapidly in response to the improvement of computer hardware and software and this is matched by the evolution of the technologies involved. This article focuses mainly on Web Services technology and discusses related technical issues including availability, performance and composition. It also introduces Grid, agents and Semantic Web technologies that can work together with Web Services to serve different business goals.

A URI is Worth a Thousand Tags

2011 ◽  
pp. 279-302 ◽  
Author(s):  
Alexandre Passant ◽  
Philippe Laublet ◽  
John G. Breslin ◽  
Stefan Decker
Keyword(s):  
Semantic Web ◽  
User Generated Content ◽  
Social Web ◽  
Enterprise 2.0 ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
The Social ◽  
Web Of Data ◽  
Accepted Practice ◽  
The Web

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.

Applicability Assessment of Semantic Web Technologies in Human Resources Domain

2012 ◽  
pp. 470-485
Author(s):  
Valentina Janev ◽  
Sanja Vraneš
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Human Resources ◽  
Business Processes ◽  
Global Market ◽  
Semantic Technologies ◽  
Enterprise Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Illustrative Case Study

To meet the challenges of today’s Internet economy and be competitive in a global market, enterprises are constantly adapting their business processes and adjusting their information systems. In this article, the authors analyze the applicability and benefits of using semantic technologies in contemporary information systems. By using an illustrative case study of deployment of Semantic Web technologies in Human Resources sector at the Mihajlo Pupin Institute, this paper shows how the latest semantic technologies could be used with existing Enterprise Information Systems and Enterprise Content Management systems to ensure meaningful search and retrieval of expertise for in-house users as well as for integration in the European research space and beyond.

Applicability Assessment of Semantic Web Technologies in Human Resources Domain

2010 ◽  
Vol 23 (3) ◽  
pp. 27-42 ◽  
Author(s):  
Valentina Janev ◽  
Sanja Vraneš
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Human Resources ◽  
Business Processes ◽  
Content Management ◽  
Global Market ◽  
Illustrative Case ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies

To meet the challenges of today’s Internet economy and be competitive in a global market, enterprises are constantly adapting their business processes and adjusting their information systems. In this article, the authors analyze the applicability and benefits of using semantic technologies in contemporary information systems. By using an illustrative case study of deployment of Semantic Web technologies in Human Resources sector at the Mihajlo Pupin Institute, this paper shows how the latest semantic technologies could be used with existing Enterprise Information Systems and Enterprise Content Management systems to ensure meaningful search and retrieval of expertise for in-house users as well as for integration in the European research space and beyond.

Web Services in Distributed Information Systems

2010 ◽  
pp. 937-951
Author(s):  
Xia Zhao ◽  
Tao Wang ◽  
Enjie Liu ◽  
Gordon J. Clapworthy
Keyword(s):  
Information Systems ◽  
Web Services ◽  
Semantic Web ◽  
Computer Hardware ◽  
Distributed Information Systems ◽  
Semantic Web Technologies ◽  
Distributed Information ◽  
Web Technologies ◽  
Business Goals ◽  
Technical Issues

Distributed information systems are growing rapidly in response to the improvement of computer hardware and software and this is matched by the evolution of the technologies involved. This article focuses mainly on Web Services technology and discusses related technical issues including availability, performance and composition. It also introduces Grid, agents and Semantic Web technologies that can work together with Web Services to serve different business goals.

Web Services in Distributed Information Systems

2012 ◽  
pp. 1-16
Author(s):  
Xia Zhao ◽  
Tao Wang ◽  
Enjie Liu ◽  
Gordon J. Clapworthy
Keyword(s):  
Information Systems ◽  
Web Services ◽  
Semantic Web ◽  
Computer Hardware ◽  
Distributed Information Systems ◽  
Semantic Web Technologies ◽  
Distributed Information ◽  
Web Technologies ◽  
Business Goals ◽  
Technical Issues

Distributed information systems are growing rapidly in response to the improvement of computer hardware and software and this is matched by the evolution of the technologies involved. This paper focuses mainly on Web Services technology and discusses related technical issues including availability, performance and composition. It also introduces Grid, agents and Semantic Web technologies that can work together with Web Services to serve different business goals.

scholarly journals A Semantic-Based Approach for Managing Healthcare Big Data: A Survey

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Rafat Hammad ◽  
Malek Barhoush ◽  
Bilal H. Abed-alguni
Keyword(s):  
Big Data ◽  
Information Systems ◽  
Semantic Web ◽  
Semantic Web Technologies ◽  
Healthcare Information ◽  
Healthcare Information Systems ◽  
Web Technologies ◽  
New Methods ◽  
Points Of View ◽  
Different Sources

Healthcare information systems can reduce the expenses of treatment, foresee episodes of pestilences, help stay away from preventable illnesses, and improve personal life satisfaction. As of late, considerable volumes of heterogeneous and differing medicinal services data are being produced from different sources covering clinic records of patients, lab results, and wearable devices, making it hard for conventional data processing to handle and manage this amount of data. Confronted with the difficulties and challenges facing the process of managing healthcare big data such as volume, velocity, and variety, healthcare information systems need to use new methods and techniques for managing and processing such data to extract useful information and knowledge. In the recent few years, a large number of organizations and companies have shown enthusiasm for using semantic web technologies with healthcare big data to convert data into knowledge and intelligence. In this paper, we review the state of the art on the semantic web for the healthcare industry. Based on our literature review, we will discuss how different techniques, standards, and points of view created by the semantic web community can participate in addressing the challenges related to healthcare big data.

WESONet: Applying semantic web technologies and collaborative tagging to multimedia web information systems

2010 ◽  
Vol 26 (2) ◽  
pp. 205-209 ◽  
Author(s):  
Jose Emilio Labra Gayo ◽  
Patricia Ordóñez de Pablos ◽  
Juan Manuel Cueva Lovelle
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Collaborative Tagging ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Information ◽  
Web Information Systems

A URI is Worth a Thousand Tags

2009 ◽  
Vol 5 (3) ◽  
pp. 71-94 ◽  
Author(s):  
Alexandre Passant ◽  
Philippe Laublet ◽  
John G. Breslin ◽  
Stefan Decker
Keyword(s):  
Semantic Web ◽  
User Generated Content ◽  
Social Web ◽  
Enterprise 2.0 ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
The Social ◽  
Web Of Data ◽  
Accepted Practice ◽  
The Web

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.

Architecture of Enterprise Information Systems Based on the Semantic Web Technologies

2016 ◽  
Vol 685 ◽  
pp. 843-846 ◽  
Author(s):  
I.A. Zaikin ◽  
Anatoliy Tuzovskiy ◽  
V.Z. Yampolskiy
Keyword(s):  
Information Systems ◽  
Semantic Web ◽  
Semantic Technologies ◽  
Design And Development ◽  
Enterprise Information ◽  
Semantic Web Technologies ◽  
Enterprise Information Systems ◽  
Web Technologies ◽  
Software Engineers

The role of systems based on Semantic Web technologies is rising. Today there is a big set of tools to use semantic technologies. However, to date there were no recommendations given about architecture of information systems based on ontologies and Semantic Web technologies. Such architecture is suggested in the article. This architecture is intended for software engineers interested in design and development of such information systems.

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