The SEWASIE architecture: a multi-agent system for data integration
In this paper we present the SEWASIE system, a multi-level agent-based architecture for querying heterogeneous data sources integrated by means of ontologies. Main features of this system are: two level data integration scheme, a query tool that supports the user in formulating a precise query, inte...
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| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2005
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/22897 |
| Aporte de: |
| Sumario: | In this paper we present the SEWASIE system, a multi-level agent-based architecture for querying heterogeneous data sources integrated by means of ontologies. Main features of this system are: two level data integration scheme, a query tool that supports the user in formulating a precise query, integrated tools for negotiation and information monitoring, and an agent infrastructure that provides a unifying framework for the architecture. In this work we focus on the agent infrastructure, from the user interface to the query answering mechanism |
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