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Interest Logic and Its Application on the Web

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7091)

Abstract

With the emerging microbloging and social networking platforms, interests become more and more important for user-driven Web applications. Nevertheless, there is no specific logical system that can be directly used to describe human interests and relevant inference rules. In this paper, we introduce the interest logic. We give a formal language to describe the proposed interest logic, then we discuss its semantics and axiomatization. Following the proposed interest logic, we discuss some interesting characteristics of human interests. With the discussion of factors that are related to human interests, we propose some possible extensions of interests logic. Finally, we give several applications of interest logic on the Web platforms to illustrate its potentials and effectiveness.

Keywords

  • interest logic
  • epistemic interest logic
  • social network
  • personalized Web search
  • query expansion

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  • DOI: 10.1007/978-3-642-25975-3_2
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References

  1. Liu, F., Yu, C., Meng, W.: Personalized web search for improving retrieval effectiveness. IEEE Transactions on Knowledge and Data Engineering 16(1), 28–40 (2004)

    CrossRef  Google Scholar 

  2. Zhuge, H.: Semantic linking through spaces for cyber-physical-socio intelligence: a methodology. Artificial Intelligence 175(5-6), 988–1019 (2011)

    CrossRef  Google Scholar 

  3. Spangler, K.L.: Reading interests vs. reading preferences: using the research. The Reading Teacher, 876–878 (May 1983)

    Google Scholar 

  4. Frances, R.: Comparative effects of six collative variables on interest and preference in adults of different educational levels. Journal of Personality and Social Psychology 33(1), 62–79 (1976)

    CrossRef  Google Scholar 

  5. van Benthem, J., Gerbrandy, J., Pacuit, E.: Preference logic, conditionals and solution concepts in games. Uppsala Philosophical Studies 53, 61–77 (2006)

    Google Scholar 

  6. Liu, F.: Reasoning about Preference Dynamics, 1st edn. Springer, Heidelberg (2011)

    CrossRef  MATH  Google Scholar 

  7. Meyer, J.J.C., van der Hoek, W.: Epistemic Logic for AI and Computer Science. Cambridge University Press (2011)

    Google Scholar 

  8. Zhang, X., Jing, L., Hu, X., Ng, M., Zhou, X.: A Comparative Study of Ontology Based Term Similarity Measures on Document Clustering. In: Kotagiri, R., Radha Krishna, P., Mohania, M., Nantajeewarawat, E. (eds.) DASFAA 2007. LNCS, vol. 4443, pp. 115–126. Springer, Heidelberg (2007)

    CrossRef  Google Scholar 

  9. Cilibrasi, R., Vitanyi, P.M.B.: The google similarity distance. IEEE Transaction on Knowledge and Data Engineering 19(3), 370–383 (2007)

    CrossRef  Google Scholar 

  10. Zeng, Y., Zhou, E., Wang, Y., Ren, X., Qin, Y., Huang, Z., Zhong, N.: Research interests: their dynamics, structures and applications in unifying search and reasoning. Journal of Intelligent Information Systems 37(1), 65–88 (2011)

    CrossRef  Google Scholar 

  11. Zeng, Y., Zhong, N., Wang, Y., Qin, Y., Huang, Z., Zhou, H., Yao, Y., van Harmelen, F.: User-centric query refinement and processing using granularity based strategies. Knowledge and Information Systems 27(3) (2011)

    Google Scholar 

  12. Wang, S., Zeng, Y., Zhong, N.: Ontology Extraction and Integration from Semi-Structured Data. In: Zhong, N., Callaghan, V., Ghorbani, A.A., Hu, B. (eds.) AMT 2011. LNCS, vol. 6890, pp. 39–48. Springer, Heidelberg (2011)

    CrossRef  Google Scholar 

  13. Benthem, J.V.: Modal Logic for Open Minds. CSLI Studies in Computational Linguistics, Stanford (2010)

    Google Scholar 

  14. Huth, M., Ryan, M.: Logic in Computer Science: Modelling and Reasoning about Systems, 2nd edn. Cambridge University Press (2004)

    Google Scholar 

  15. Seligman, J., Liu, F., Girard, P.: Logic in the Community. In: Banerjee, M., Seth, A. (eds.) Logic and Its Applications. LNCS, vol. 6521, pp. 178–188. Springer, Heidelberg (2011)

    CrossRef  Google Scholar 

  16. Harel, D., Kozen, D., Tiuryn, J.: Dynamic Logic, 1st edn. The MIT Press (2000)

    Google Scholar 

  17. Ma, Y., Zeng, Y., Ren, X., Zhong, N.: User Interests Modeling Based on Multi-Source Personal Information Fusion and Semantic Reasoning. In: Zhong, N., Callaghan, V., Ghorbani, A.A., Hu, B. (eds.) AMT 2011. LNCS, vol. 6890, pp. 195–205. Springer, Heidelberg (2011)

    CrossRef  Google Scholar 

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Zeng, Y., Huang, Z., Liu, F., Ren, X., Zhong, N. (2011). Interest Logic and Its Application on the Web. In: Xiong, H., Lee, W.B. (eds) Knowledge Science, Engineering and Management. KSEM 2011. Lecture Notes in Computer Science(), vol 7091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25975-3_2

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  • DOI: https://doi.org/10.1007/978-3-642-25975-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25974-6

  • Online ISBN: 978-3-642-25975-3

  • eBook Packages: Computer ScienceComputer Science (R0)