Abstract
Cooperative Information Agents and modern information systems in general have to access large amount of information distributed across multiple heterogeneous sources.A great challenge of such systems is to evolve by adding new information sources or adapting the existing components for different domain knowledge.W e propose the UPML as a framework to build Information Agents by reusing a library of problem solving components that are defined in a domain-independent manner. Moreover, the UPML language is used as an Agent Capability Description Language (ACDL) suitable to configure and build an application. From this approach, a new application can be build by linking the components of the library with a particular domain and a collection of heterogeneous information sources.Adaptabilit y and dynamic configuration of such a system is achieved by reasoning about the UPML specifications of agent capabilities.Indep endence of the domain and semantic interoperability are achieved by using ontologies and bridges (mappings between ontologies), while independence from the information sources is based on the use of ontologies to overcome semantic heterogeneity and wrappers to achieve syntactic interoperability.
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Gomez, M., Abasolo, C., Plaza, E. (2001). Domain-Independent Ontologies for Cooperative Information Agents. In: Klusch, M., Zambonelli, F. (eds) Cooperative Information Agents V. CIA 2001. Lecture Notes in Computer Science(), vol 2182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44799-7_13
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DOI: https://doi.org/10.1007/3-540-44799-7_13
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