engleski

Enabling Agent Architecture through an RDF Query and Inference Engine

Over the past several years there has been an increase in the number of heterogeneous information sources, mainly due to the rise of the Internet. In order to select the desired information, large quantities of information must be searched and examined. Various AI techniques are available for such tasks, relying on information semantics. To implement these techniques on a variety of platforms, a common base for interchange of semantic information must be defined. Resource Description Framework (RDF) is the model for the description of semantic information suitable for application on the Internet, which is based on the semantic networks knowledge model. It should be, however, noted that this model does not provide any means for querying RDF data. In this paper we propose a model for querying RDF knowledge bases and its accompanying syntax based on the XML language. The model has been implemented and tested in practice.

intelligent agents; information brokers; RDF

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