Developing an Intelligent Parking Management Application Based on Multi-agent Systems and Semantic Web Technologies

2010 ◽  
pp. 64-72 ◽  
Author(s):  
Andrés Muñoz ◽  
Juan A. Botía
Keyword(s):  
Semantic Web ◽  
Multi Agent Systems ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Agent Systems ◽  
Management Application ◽  
Parking Management ◽  
Multi Agent

Enhancing Social Networks with Agent and Semantic Web Technologies

2012 ◽  
pp. 83-100 ◽  
Author(s):  
Federico Bergenti ◽  
Enrico Franchi ◽  
Agostino Poggi
Keyword(s):  
Social Networks ◽  
Semantic Web ◽  
Collaborative Work ◽  
Multi Agent Systems ◽  
Semantic Web Technologies ◽  
Agent Based ◽  
Web Technologies ◽  
Agent Systems ◽  
Multi Agent ◽  
Relevant Work

In this chapter, the authors describe the relationships between multi-agent systems, social networks, and the Semantic Web within collaborative work; they also review how the integration of multi-agent systems and Semantic Web technologies and techniques can be used to enhance social networks at all scales. The chapter first provides a review of relevant work on the application of agent-based models and abstractions to the key ingredients of our work: collaborative systems, the Semantic Web, and social networks. Then, the chapter discusses the reasons current multi-agent systems and their foreseen evolution might be a fundamental means for the realization of the future Semantic Social Networks. Finally, some conclusions are drawn.

scholarly journals Combining Semantic Web technologies with Multi-Agent Systems for integrated access to biological resources

2008 ◽  
Vol 41 (5) ◽  
pp. 848-859 ◽  
Author(s):  
Francisco García-Sánchez ◽  
Jesualdo Tomás Fernández-Breis ◽  
Rafael Valencia-García ◽  
Juan Miguel Gómez ◽  
Rodrigo Martínez-Béjar
Keyword(s):  
Semantic Web ◽  
Multi Agent Systems ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Agent Systems ◽  
Biological Resources ◽  
Multi Agent

Agency and the Semantic Web

2006 ◽  
Author(s):  
Christopher Walton
Keyword(s):  
Semantic Web ◽  
Multi Agent Systems ◽  
Web Content ◽  
Semantic Web Technologies ◽  
Research Issues ◽  
Agent Systems ◽  
Knowledge Based ◽  
Multi Agent ◽  
The University ◽  
The Web

This highly topical text considers the construction of the next generation of the Web, called the Semantic Web. This will enable computers to automatically consume Web-based information, overcoming the human-centric focus of the Web as it stands at present, and expediting the construction of a whole new class of knowledge-based applications that will intelligently utilize Web content. The text is structured into three main sections on knowledge representation techniques, reasoning with multi-agent systems, and knowledge services. For each of these topics, the text provides an overview of the state-of-the-art techniques and the popular standards that have been defined. Numerous small programming examples are given, which demonstrate how the benefits of the Semantic Web technologies can be realized at the present time. The main theoretical results underlying each of the technologies are presented, and the main problems and research issues which remain are summarized. Based on a course on 'Multi-Agent Systems and the Semantic Web' taught at the University of Edinburgh, this text is ideal for final-year undergraduate and graduate students in Mathematics, Computer Science, Artificial Intelligence, and Logic and researchers interested in Multi-Agent Systems and the Semantic Web.

Semantic Aware Multi-Agent System Advantages

2014 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Trajche Manev ◽  
Sonja Filiposka
Keyword(s):  
System Development ◽  
Multi Agent Systems ◽  
Semantic Web Technologies ◽  
Traditional System ◽  
Web Technologies ◽  
Agent Systems ◽  
Technology Changes ◽  
Agent Platforms ◽  
Multi Agent

<span>Internet changes the way people communicate with each other and also affects the business flow. Technology changes affect how people live and communicate with each other, but they themselves also transform and become more human like. The agent oriented programming and multi-agent systems are relatively new example technologies that manifest these changes in a multifacet way. The goal of this paper is to explore the possibilities one can obtain by combining multi agent systems with the emerging semantic web technologies. This powerful combination leads towards new types of complex system development. Using a case study example, together with a comparison with the traditional system design approach, <a name="_GoBack"></a>the paper also discusess the possibilities of semantic agent platforms and their development and shows how developers can benefit from following the standards to agent development.</span>

Using Semantic Web Technologies and Multi-agent System for Multi-dimensional Analysis of Open Health Data

2020 ◽  
Vol 19 (03) ◽  
pp. 2050021
Author(s):  
Salma El Hajjami ◽  
Mohammed Berrada ◽  
Mostafa Harti ◽  
Gayo Diallo
Keyword(s):  
Semantic Web ◽  
Dimensional Analysis ◽  
Health Data ◽  
New Drugs ◽  
Multi Agent Systems ◽  
Semantic Web Technologies ◽  
Daily Lives ◽  
Web Technologies ◽  
Multi Agent ◽  
Source Of Information

Recent years have seen Social Web becoming a global phenomenon, which is being increasingly important in our daily lives. Millions of users are chatting on the Web and social networks and expressing their feelings and opinions about the latest outbreaks, symptoms, illnesses and new drugs. These opinions contain a large amount of data, which are destined to become a major source of information for business intelligence, as they are largely informative and therefore interesting to be dealt with in a decision-making process, in order to evaluate and improve the performance of health system. However, this source of information is currently underutilised. This work describes an approach to creating an analytical health framework that allows the integration and multi-dimensional analysis of available health data, with particular attention to socially generated data, using Semantic Web (SW) technologies and multi-agent systems.

scholarly journals Semantic Web Services for Multi-Agent Systems Interoperability

2019 ◽  
pp. 606-616
Author(s):  
Alda Canito ◽  
Gabriel Santos ◽  
Juan M. Corchado ◽  
Goreti Marreiros ◽  
Zita Vale
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Semantic Web Services ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent

Developing Multi Agent Systems on Semantic Web Environment Using SEAGENT Platform

2006 ◽  
pp. 1-13 ◽  
Author(s):  
Oguz Dikenelli ◽  
Riza Cenk Erdur ◽  
Geylani Kardas ◽  
Özgür Gümüs ◽  
Inanç Seylan ◽  
...  
Keyword(s):  
Semantic Web ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Web Environment ◽  
Multi Agent

scholarly journals A multi-agent based system with big data processing for enhanced supply chain agility

2016 ◽  
Vol 29 (5) ◽  
pp. 706-727 ◽  
Author(s):  
Mihalis Giannakis ◽  
Michalis Louis
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Semantic Web ◽  
Supply Chains ◽  
Multi Agent Systems ◽  
Content Type ◽  
Agent Based ◽  
Agent Systems ◽  
Supply Chain Agility ◽  
Multi Agent

Purpose Decision support systems are becoming an indispensable tool for managing complex supply chains. The purpose of this paper is to develop a multi-agent-based supply chain management system that incorporates big data analytics that can exert autonomous corrective control actions. The effects of the system on supply chain agility are explored. Design/methodology/approach For the development of the architecture of the system, a sequential approach is adopted. First three fundamental dimensions of supply chain agility are identified – responsiveness, flexibility and speed. Then the organisational design of the system is developed. The roles for each of the agents within the framework are defined and the interactions among these agents are modelled. Findings Applications of the model are discussed, to show how the proposed model can potentially provide enhanced levels in each of the dimensions of supply chain agility. Research limitations/implications The study shows how the multi-agent systems can assist to overcome the trade-off between supply chain agility and complexity of global supply chains. It also opens up a new research agenda for incorporation of big data and semantic web applications for the design of supply chain information systems. Practical implications The proposed information system provides integrated capabilities for production, supply chain event and disruption risk management under a collaborative basis. Originality/value A novel aspect in the design of multi-agent systems is introduced for inter-organisational processes, which incorporates semantic web information and a big data ontology in the agent society.

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