A Semantic Web-Based Information Integration Approach for an Agent-Based Electronic Market

Author(s):  
Maria João Viamonte

With the increasing importance of e-commerce across the Internet, the need for software agents to support both customers and suppliers in buying and selling goods/services is growing rapidly. It is becoming increasingly evident that in a few years the Internet will host a large number of interacting software agents. Most of them will be economically motivated, and will negotiate a variety of goods and services. It is therefore important to consider the economic incentives and behaviours of e-commerce software agents, and to use all available means to anticipate their collective interactions. Even more fundamental than these issues, however, is the very nature of the various actors that are involved in e-commerce transactions. This leads to different conceptualizations of the needs and capabilities, giving rise to semantic incompatibilities between them. Ontologies have an important role in Multi-Agent Systems communication and provide a vocabulary to be used in the communication between agents. It is hard to find two agents using precisely the same vocabulary. They usually have a heterogeneous private vocabulary defined in their own private ontology. In order to provide help in the conversation among different agents, we are proposing what we call ontology-services to facilitate agents’ interoperability. More specifically, we propose an ontology-based information integration approach, exploiting the ontology mapping paradigm, by aligning consumer needs and the market capacities, in a semi-automatic mode. We propose a new approach for the combination of the use of agent-based electronic markets based on Semantic Web technology, improved by the application and exploitation of the information and trust relationships captured by the social networks.

2009 ◽  
pp. 1458-1477
Author(s):  
Maria João Viamonte ◽  
Nuno Silva

With the increasing importance of e-commerce across the Internet, the need for software agents to support both customers and suppliers in buying and selling goods/services is growing rapidly. It is becoming increasingly evident that in a few years the Internet will host a large number of interacting software agents. Most of them will be economically motivated, and will negotiate a variety of goods and services. It is therefore important to consider the economic incentives and behaviours of e-commerce software agents, and to use all available means to anticipate their collective interactions. Even more fundamental than these issues, however, is the very nature of the various actors that are involved in e-commerce transactions. This leads to different conceptualizations of the needs and capabilities, giving rise to semantic incompatibilities between them. Ontologies have an important role in Multi-Agent Systems communication and provide a vocabulary to be used in the communication between agents. It is hard to find two agents using precisely the same vocabulary. They usually have a heterogeneous private vocabulary defined in their own private ontology. In order to provide help in the conversation among different agents, we are proposing what we call ontology-services to facilitate agents’ interoperability. More specifically, we propose an ontology-based information integration approach, exploiting the ontology mapping paradigm, by aligning consumer needs and the market capacities, in a semi-automatic mode. We propose a new approach for the combination of the use of agent-based electronic markets based on Semantic Web technology, improved by the application and exploitation of the information and trust relationships captured by the social networks.


Author(s):  
Federico Bergenti ◽  
Enrico Franchi ◽  
Agostino Poggi

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.


2013 ◽  
Vol 315 ◽  
pp. 108-112
Author(s):  
Majid Aarabi ◽  
Muhamad Zameri Mat Saman ◽  
Kuan Yew Wong

The main purposes and challenges in supply chain management are reducing cost and time. Significantly, factors such as the competition of markets in the globe, limitation of energy, raw and virgin materials, environmental protection crisis and increasing of global population dramatically are causing unprecedented issues for the worldwide supply chains for providing goods and services to customers efficiently and effectively. The sustainability approach for Supply Chain Management (SCM) considers the 6Rs principles in four main stages of the supply chains: Pre-manufacture, Manufacture, Use and Post-use. The use of Multi-Agent System (MAS) prepares the most important requirements of an effective sustainable supply chain. At the same time, this agent-based approach provides reliable and agile systems, which will enable enterprises to accommodate ever changing needs of their customers in the future. In this article, the use of MAS for optimal Sustainable Supply Chain Management (SSCM) is reviewed and the integrated functioning of certain agents resulting in information sharing is also demonstrated. With this idea, an attempt is made to provide a MAS model for the SSCM. In the proposed model, each agent performs a specific function of the organization and shares information with other agents. In order to describe this multi-agent based approach, a simple case study is given to illustrate the sustainable supply chain operations.


2016 ◽  
Vol 29 (5) ◽  
pp. 706-727 ◽  
Author(s):  
Mihalis Giannakis ◽  
Michalis Louis

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.


Author(s):  
Gunjan Kalra

This chapter discusses the process of providing information in its most accurate, complete form to its users and the difficulties faced by the users of the current information systems. The chapter describes the impact of prevalent technologies such as the Multi-Agent Systems and the Semantic Web in the area of information supply via an example implementation and a model use case. The chapter offers a potentially more efficient and robust approach to information integration and supply process. The chapter intends to highlight the complexities inherent in the process of information supply and the role of emerging information technologies in solving these challenges.


2009 ◽  
pp. 2466-2494 ◽  
Author(s):  
Maria Ganzha ◽  
Maciej Gawinecki ◽  
Marcin Paprzucki ◽  
Rafal Gasiorowski ◽  
Szymon Pisarek ◽  
...  

The use of Semantic Web technologies in e-business is hampered by the lack of large, publiclyavailable sources of semantically-demarcated data. In this chapter, we present a number of intermediate steps on the road toward the Semantic Web. Specifically, we discuss how Semantic Web technologies can be adapted as the centerpiece of an agent-based travel support system. First, we present a complete description of the system under development. Second, we introduce ontologies developed for, and utilized in, our system. Finally, we discuss and illustrate through examples how ontologically demarcated data collected in our system is personalized for individual users. In particular, we show how the proposed ontologies can be used to create, manage, and deploy functional user profiles.


Author(s):  
Maria Ganzha ◽  
Maciej Gawinecki ◽  
Marcin Paprzycki ◽  
Rafal Gasiorowski ◽  
Szymon Pisarek ◽  
...  

The use of Semantic Web technologies in e-business is hampered by the lack of large, publicly-available sources of semantically-demarcated data. In this chapter, we present a number of intermediate steps on the road toward the Semantic Web. Specifically, we discuss how Semantic Web technologies can be adapted as the centerpiece of an agent-based travel support system. First, we present a complete description of the system under development. Second, we introduce ontologies developed for, and utilized in, our system. Finally, we discuss and illustrate through examples how ontologically demarcated data collected in our system is personalized for individual users. In particular, we show how the proposed ontologies can be used to create, manage, and deploy functional user profiles.


Author(s):  
Sheng-Uei Guan ◽  
Fangming Zhu

Agent-based e-commerce has been booming with the development of the Internet and agent technologies. However, little effort has been devoted to exploring the learning and evolving capabilities of software agents. This chapter addresses the issues of evolving software agents in e-commerce applications. An agent structure with evolutionary features is proposed with a focus on internal hierarchical knowledge. We argue that the knowledge base of an intelligent agent should be the cornerstone for its evolution capabilities, and the agent can enhance its knowledge base by exchanging knowledge with other agents. In this chapter, product ontology is chosen as an instance of knowledge base. We propose a new approach to facilitate ontology exchange among e-commerce agents. The ontology exchange model and its formalities are elaborated. Product-brokering agents have been designed and implemented, which accomplish the ontology exchange process from request to integration.


Author(s):  
Eduardo H. Ramírez ◽  
Ramón F. Brena

In this paper we present a decoupled architectural approach that allows software agents to interoperate with enterprise systems using Web services. The solution leverages existing technologies and standards in order to reduce the time-to-market and increase the adoption of agent-based applications. We present case studies of applications that have been enhanced by our proposal.


Author(s):  
Mihhail Matskin ◽  
Amund Tveit

This chapter considers an application of software agents to mobile commerce services provision. With the increasing number of e-commerce services for mobile devices, there are challenges in making these services more personalized and in taking into account the severely constrained bandwidth and restricted user interface these devices currently provide. In this chapter we present an agent-based platform for support of mobile commerce using wireless devices. Agents represent mobile device customers in the network by implementing highly personalized customer profiles. The platform allows customization and adaptation of mobile commerce services as well as pro-active processing and notification of important events. Information to the customers is delivered via both an access to the Internet and SMS messages. Usage of the platform is illustrated by examples of valued customer membership services and subscription services support. We hope that the presented work demonstrates benefits of software agents as assistants in mobile commerce services.


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