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A Novel Framework for Medical Web Information Foraging Using Hybrid ACO and Tabu Search

Systems-Level Quality Improvement
Part of the following topical collections:
  1. Health Information Systems & Technologies

Abstract

We present in this paper a novel approach based on multi-agent technology for Web information foraging. We proposed for this purpose an architecture in which we distinguish two important phases. The first one is a learning process for localizing the most relevant pages that might interest the user. This is performed on a fixed instance of the Web. The second takes into account the openness and dynamicity of the Web. It consists on an incremental learning starting from the result of the first phase and reshaping the outcomes taking into account the changes that undergoes the Web. The system was implemented using a colony of artificial ants hybridized with tabu search in order to achieve more effectiveness and efficiency. To validate our proposal, experiments were conducted on MedlinePlus, a real website dedicated for research in the domain of Health in contrast to other previous works where experiments were performed on web logs datasets. The main results are promising either for those related to strong Web regularities and for the response time, which is very short and hence complies the real time constraint.

Keywords

Medical data management Information foraging Web intelligence Multi-agent systems Swarm intelligence Ant colony optimization (ACO) Tabu search Page ranking MedlinePlus 

References

  1. 1.
    Arbelaitz, O., Gurrutxaga, I., Lojo, A., Muguerza, J., Prez, J.M., and Perona, I., Web usage and content mining to extract knowledge for modelling the users of the bidasoa turismo website and to adapt it. Expert Syst. Appl. 40:7478–7491, 2013.CrossRefGoogle Scholar
  2. 2.
    Berman, F., From teragrid to knowledge grid. Commun. ACM 44:27–28, 2001.CrossRefGoogle Scholar
  3. 3.
    Bharat, K., and Broder, A., A technique for measuring the relative size and overlap of public web search engines. Comput. Netw. ISDN Syst. 30:379–388, 1998.CrossRefGoogle Scholar
  4. 4.
    Bjorneborn, L., and Ingwersen, P., Toward a basic framework for webometrics. J. Am. Soc. Inf. Sci. Technol., special issue Webometrics 55(14):1216–1227, 2004.CrossRefGoogle Scholar
  5. 5.
    Chi, H.E., and Pirolli, P., Social information foraging and collaborative search. HCIC Workshop, Frase CO 40:7478–7491, 2006.Google Scholar
  6. 6.
    Dorigo, M., and Gambardella, L.M., Ant algorithms for discrete optimization. Artif. Life 5–3:137–172, 1999.CrossRefGoogle Scholar
  7. 7.
    Drias, Y., and Kechid, S.: Bees swarm optimization for web information foraging. In: Mining Intelligence and Knowledge Exploration - Second International Conference, MIKE 2014. Cork, Ireland, December 10–12, 2014. Proceedings, 189–198 (2014)Google Scholar
  8. 8.
    Drias, Y., and Kechid, S.: A multi-agent framework for web information foraging: Application to medlineplus. In: New Contributions in Information Systems and Technologies, Advances in Intelligent Systems and Computing - 3rd World Conference on Information Systems and Technologies. WorldCist 2015, Azores, Portugal, 1–3 April 2015. Proceedings, pp. 247–256 (2015)Google Scholar
  9. 9.
    Geraghty, P.: Predator and prey: Adaptations (2012)Google Scholar
  10. 10.
    Goldstein, N., Animal behavior: Animal hunting and feeding. New York: Chelsea House, 2013.Google Scholar
  11. 11.
    Graupmann, J., Cai, J., and Schenkel, R.: Automatic query refinement using mined se- mantic relations. Proceedings of the International Workshop on Challenges in Web Information Retrieval and Integration, WIRI05 (2005)Google Scholar
  12. 12.
    Han, J., Kamber, M., and Pei, J., Data mining: Concepts and techniques. 3rd edn. San Francisco: Morgan Kaufmann Publishers Inc, 2011.Google Scholar
  13. 13.
    Huberman, B.A., and Adamic, L.A., Growth dynamics of the world-wide web. Nature 40:7478–7491, 1999.Google Scholar
  14. 14.
    Huberman, B.A., Pirolli, P.L.T., Pitkow, J.E., and Lukose, R.M.: Strong regularities in world wide web surfing. Science (1997)Google Scholar
  15. 15.
    Iberkwe-SanJuan, F.: Fouille de textes methods, outils et apllications. Expert System With Applications (2007)Google Scholar
  16. 16.
    Lamprecht, D., Strohmaier, M., Helic, D., Nyulas, C., Tudorache, T., Noy, N.F., and Musen, M.A.: Using ontologies to model human navigation behavior in information networks: A study based on wikipedia. Semantic Web Journal (2014)Google Scholar
  17. 17.
    Liu, J., and Zhang, S.W., Characterizing web usage regularities with information foraging agents. IEEE Trans. Knowl. Data Eng. 40:7478–7491, 2004.Google Scholar
  18. 18.
    Liu, J., Zhong, N., Yao, Y.Y., and Ras, Z.W., The wisdom web: New challenges for web intelligence (wi). Expert Syst. Appl. 40:7478–7491, 2013.CrossRefGoogle Scholar
  19. 19.
    Liu, J., Web intelligence (WI): what makes wisdom web? In: Ijcai-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9–15, 2003, 1596–1601, 2003.Google Scholar
  20. 20.
    MedlinePlus. U.S. National Library of Medicine, http://www.nlm.nih.gov/medlineplus/ 2015-04-01 (2015)
  21. 21.
    Ntoulas, A., Cho, J., and Olston, C.: Whats new on the web?: The evolution of the web from a search engine perspective. Proceedings of the 13th International Conference on World Wide Web, WWW04 (2004)Google Scholar
  22. 22.
    Ranganathan, P., From microprocessors to nanostores: Rethinking data-centric systems. IEEE Comput. 44: 39–48, 2011.CrossRefGoogle Scholar
  23. 23.
    Zhong, N., Ma, J.H., Huang, R.H., Liu, J.M., Yao, Y.Y., Zhang, Y.X., and Chen, J.H. Research challenges and perspectives on wisdom web of things (w2t). Supercomputing (2010).Google Scholar
  24. 24.
    Zhu, Y., Zhong, N., and Xiong, Y.: Data explosion, data nature and dataology. Proceedings of the 2009 International Conference on Brain Informatics, BI09. Springer-Verlag (2009).Google Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.USTHB-LRIAAlgiersAlgeria
  2. 2.Universita degli Studi di Milano BicoccaMilanoItaly

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