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Ontos Solutions for Semantic Web: Text Mining, Navigation and Analytics

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4476))

Abstract

This paper deals with the problem of development and implementation of semantic navigation through Web-content. Multi-agent architecture of a solution for Semantic Web and innovative services are presented. In the context of the proposed solution Web mining is carried out by special OntosMiner agents, which provide the ontology-driven processing of multilingual text collections on the basis of the special kind of content extraction technologies. First evaluation results of the presented solution are discussed as well.

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Authors

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Vladimir Gorodetsky Chengqi Zhang Victor A. Skormin Longbing Cao

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© 2007 Springer Berlin Heidelberg

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Khoroshevsky, V. et al. (2007). Ontos Solutions for Semantic Web: Text Mining, Navigation and Analytics. In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds) Autonomous Intelligent Systems: Multi-Agents and Data Mining. AIS-ADM 2007. Lecture Notes in Computer Science(), vol 4476. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72839-9_2

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  • DOI: https://doi.org/10.1007/978-3-540-72839-9_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72838-2

  • Online ISBN: 978-3-540-72839-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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