Abstract
This chapter addresses the question of how an institutional decision-support system built on legacy relational databases (RDB) can evolve from a traditional database access model to a modern system that provides its decision-making users with agent-assisted direct semantic query access. We introduce a novel approach in which the system ontologies, developed autonomously within the institution, gradually co-evolve with the related ontologies accessible on the Web. This is achieved through cooperative developement of system ontologies by human domain specialists and software agents. The agents assist with ontology-building expertise, discovery of relevant knowledge on the Web, and ontology mediation. The underlying RDB need not be modified, which allows seamless transition and coexistence between access models. The approach is concretized as Semantic Query Access System (SQAS), a distributed system architecture based on agent-oriented middleware, in which database servers develop reference ontologies, while the application-oriented clients import and overlay them with user-specific custom ontologies.
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Polajnar, D., Polajnar, J., Zubayer, M. (2014). Autonomous Evolution of Access to Information in Institutional Decision-Support Systems Using Agent and Semantic Web Technologies. In: Xhafa, F., Bessis, N. (eds) Inter-cooperative Collective Intelligence: Techniques and Applications. Studies in Computational Intelligence, vol 495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35016-0_6
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DOI: https://doi.org/10.1007/978-3-642-35016-0_6
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