A Multi-agent Environment for Serving Proof Explanations in the Semantic Web

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.

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Developing Multi Agent Systems on Semantic Web Environment Using SEAGENT Platform

Engineering Societies in the Agents World VI - Lecture Notes in Computer Science ◽

10.1007/11759683_1 ◽

2006 ◽

pp. 1-13 ◽

Cited By ~ 4

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

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Applying Information Gathering Techniques in Business-to-Consumer and Web Scenarios

Electronic Business ◽

10.4018/978-1-60566-056-1.ch049 ◽

2009 ◽

pp. 781-799

Author(s):

David Camacho

Keyword(s):

Semantic Web ◽

Computer Science ◽

Information Gathering ◽

Business Community ◽

Important Research ◽

Agent Based ◽

Research Fields ◽

Multi Agent ◽

Business To Consumer ◽

The Web

The last decade has shown the e-business community and computer science researchers that there can be serious problems and pitfalls when e-companies are created. One of the problems is related to the necessity for the management of knowledge (data, information, or other electronic resources) from different companies. This chapter will focus on two important research fields that are currently working to solve this problem — Information Gathering (IG) techniques and Web-enabled Agent technologies. IG techniques are related to the problem of retrieval, extraction and integration of data from different (usually heterogeneous) sources into new forms. Agent and Multi-Agent technologies have been successfully applied in domains such as the Web. This chapter will show, using a specific IG Multi-Agent system called MAPWeb, how information gathering techniques have been successfully combined with agent technologies to build new Web agent-based systems. These systems can be migrated into Business- to-Consumer (B2C) scenarios using several technologies related to the Semantic Web, such as SOAP, UDDI or Web services.

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Using Semantic Web to Facilitate Agent-to-Agent Argumentation for e-Commerce

Advances in Electronic Business, Volume 2 ◽

10.4018/978-1-59140-678-5.ch007 ◽

2011 ◽

pp. 159-179

Author(s):

Shiu-li Huang ◽

Fu-ren Lin

Keyword(s):

Semantic Web ◽

Mental States ◽

Web Technology ◽

Product Attributes ◽

Semantic Web Technology ◽

Argumentation System ◽

Multi Agent

This chapter designs a multi-agent argumentation system for e-commerce. This system applies Semantic Web technology to facilitate agents to share ontologies and describe their own mental states and arguments. All arguments are connected by attacking relations and can be proved or defeated via a dialectical game. In this system, buyer and seller agents can understand arguments and argue over product attributes. This system can help buyers to delegate their buyer agents to search products that exactly match their needs, and help sellers to delegate seller agents to present products and persuade buyer agents into believing that the products can satisfy the buyers’ needs.

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