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Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16) pp 287–295Cite as

Models for Supporting of Problem-Oriented Knowledge Search and Processing

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 450))

Abstract

In terms of search procedures and problem-oriented knowledge processing, complexity of identification and usage of key information is increasing constantly. A suggested hypothesis is based on the following statement: one of the ways to solve this problem is the improvement of semantic models for interpretation and using metadata of already-existing search profiles, pursuing similar aims, as prior data. We researched case-based reasoning in semantic search relating to knowledge filter. Concrete scientific results are: agent model, metamodel and case-model of knowledge filter which can solve problems of semantic identification of key information and processing of heterogeneous knowledge resources on the basis of ontology-based structures.

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References

  1. Amerland, D.: Google Semantic Search: Search Engine Optimization (SEO) Techniques That Gets Your Company More Traffic, Increases Brand Impact and Amplifies Your Online Presence. D.Amerland. Que Publishing, 230 p (2013)

    Google Scholar 

  2. Bova, V.V., Kravchenko, Y.A., Kureichik, V.V.: Decision support systems for knowledge management. Software Engineering in Intelligent Systems. In: Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), vol. 3, pp. 123–130. Springer International Publishing AG, Switzerland (2015)

    Google Scholar 

  3. Bova, V.V., Kravchenko, Y.A., Kureichik, V.V.: Development of distributed information systems: ontological approach. Software Engineering in Intelligent Systems. In: Proceedings of the 4th Computer Science On-line Conference 2015 (CSOC2015), vol. 3, pp 113–122. Springer International Publishing AG, Switzerland (2015)

    Google Scholar 

  4. Eberhart, R.C., Shi, Y.: Particle swarm optimization: developments, applications and resources. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), Seoul, Korea (2001)

    Google Scholar 

  5. Gangeni, A.: An Overview of the ONIONS Project: Applying Ontologies to the Integration of Medical Terminologies. In: Gangeni, A., Pisanelli, D.M., Steve, G. (eds.) Data and Knowledge Engineering, vol. 31. pp. 183–220 (1999)

    Google Scholar 

  6. He, Q., Zhao, X.R., Luo, P., Shi, Z.Z.: Combination methodologies of multi-agent hyper surface classifiers: design and implementation issues Second international workshop. AIS-ADM 2007. Proceedings, pp. 100–113. Springer, Berlin, Heidelberg, (2007)

    Google Scholar 

  7. Hu, X., Shi, Y., Eberhart, R.C.: Recent Advances in Particle Swarm. In: Proceedings of Congress on evolutionary Computation (CEC), Portland, Oregon, pp. 90–97 (2004)

    Google Scholar 

  8. Kerschberg, L., Jeong, H., Kim, W.: Emergent Semantic in Knowledge Sifter: An Evolutionary Search Agent based on Semantic Web Services. In: Spaccapietra, S., Aberer, K., Cudre-Mauroux, P. (eds.) Journal on Data Semantic VI. LNCS, vol. 4090, pp. 187–209. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  9. Kravchenko, Y.A., Kureichik, V.V.: Knowledge management based on multi-agent simulation in informational systems. Conference proceedings. In: 8th IEEE International Conference “Application of Information and Communication Technologies, AICT 2014”, pp 264–26715–17 Oct 2014, Astana, Kazakhstan

    Google Scholar 

  10. Shi, Y., Eberhart, R.C.: A modified particle swarm optimizer. Proceedings of the IEEE Congress on Evolutionary Computation (CEC), pp. 69–73. Piscataway, NJ (1998)

    Google Scholar 

  11. Sousa, T., Silva, A., Neves, A.: Particle Swarm based Data Mining Algorithms for classification tasks. Parallel Comput. 30(5–6), 767–783 (2004)

    Article  Google Scholar 

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Acknowledgments

The study was performed by the grant from the Russian Science Foundation (project # 14-11-00242) in the Southern Federal University.

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Authors and Affiliations

  1. Southern Federal University, Rostov-on-Don, Russia

    Yury Kravchenko, Ilona Kursitys & Victoria Bova

Authors
  1. Yury Kravchenko
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  2. Ilona Kursitys
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  3. Victoria Bova
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Corresponding author

Correspondence to Yury Kravchenko .

Editor information

Editors and Affiliations

  1. Sci N/w for Innova and Research Exc, Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. Institute of Mathematics, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Václav Snášel

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© 2016 Springer International Publishing Switzerland

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Kravchenko, Y., Kursitys, I., Bova, V. (2016). Models for Supporting of Problem-Oriented Knowledge Search and Processing. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-33609-1_26

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  • DOI: https://doi.org/10.1007/978-3-319-33609-1_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33608-4

  • Online ISBN: 978-3-319-33609-1

  • eBook Packages: EngineeringEngineering (R0)

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