Abstract
Authors describe a general architecture and a prototype application for the concise storage and presentation of the information retrieved from a wide spectrum of information sources. The proposed architecture was influenced by particular challenges of knowledge intensive domain, mining the knowledge content of primarily unstructured textual information, demands for context driven, multi-faceted, up-to-date query and presentation of the required information, and by the intricacies of the Hungarian language, calling for special solutions to a number of linguistic problems.
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Varga, P., Mészáros, T., Dezsényi, C., Dobrowiecki, T.P. (2003). An Ontology-Based Information Retrieval System. In: Chung, P.W.H., Hinde, C., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2003. Lecture Notes in Computer Science(), vol 2718. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45034-3_36
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DOI: https://doi.org/10.1007/3-540-45034-3_36
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