Abstract
This paper presents a multi-agent approach for scientific information retrieval from heterogeneous sources. An experimental platform has been built with the use of Scala language. A case study is shown demonstrating the results with the use of Google and Bing search engines and locally stored DBLP database.
This work is supported by the National Centre for Research and Development (NCBiR) under Grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program: “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.
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Kogut, T., Ryżko, D., Gałązka, K. (2013). Information Retrieval from Heterogeneous Knowledge Sources Based on Multi-agent System. In: Bembenik, R., Skonieczny, L., Rybinski, H., Kryszkiewicz, M., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35647-6_2
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DOI: https://doi.org/10.1007/978-3-642-35647-6_2
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