B2B Transactions Enhanced with Ontology-Based Services

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2004

Autores

Andreia Malucelli (Autor) Outra; Ana Paula Rocha (Autor) Outra; Eugénio Oliveira (Autor) FEUP

Ata de Conferência Internacional

Título: ICETE (1)

Páginas: 10-17

ICETE 2004, 1st International Conference on E-Business and Telecommunication Networks, Setúbal, Portugal, August 24-28, 2004, Proceedings

Indexação

ISI Web of Knowledge

Outras Informações

ID Authenticus: P-008-NVZ

Abstract (EN): In an efficient Virtual Enterprise (VE), where all the partners, both sending and receiving messages have to lead to acceptable and meaningful agreements, it is necessary to have common standards (an interaction protocol to achieve deals, a language for describing the messages’ content and ontology for describing the domain’s knowledge). This paper introduces first the ForEV platform, implemented through a Multi-Agent System. This platform facilitates partners’ selection automatic process in the context of VE and includes a negotiation protocol through multi-criteria and distributed constraint formalisms, as well as a reinforcement learning algorithm. Then, Ontology-based Services are proposed to be integrated in ForEV architecture in order to help in the VE formation process. These services will make the platform more open, enabling the establishment of the negotiation process between agents with different ontologies although representing the same domain of knowledge. An Ontology-based Services Agent is the responsible for providing the Ontology-based Services and monitoring the whole agents interaction just in time, without needing of a previous and tedious complete ontology mapping process. In our architecture each agent (either market or enterprise) has its own architecture and functionalities (some developer will design and build the ontology with some tool and, later, the agent will access the generated file/database), which implies the heterogeneity of the all Multi-Agent System.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8