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Matching Multilingual Tags Based on Community of Lingual Practice from Multiple Folksonomy: A Preliminary Result

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Trends in Applied Intelligent Systems (IEA/AIE 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6097))

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Abstract

By taking into account various co-occurence patterns from a folksonomy, semantic correspondences between tags have been discovered and applied to a number of applications (e.g., recommendation). In this paper, we propose a novel collective intelligence application for expanding and transforming queries for searching for multilingual resources. Thereby, multilingual tags (e.g., between ‘Seoul’ in English and ‘Coree’ in French) within a folksonomy have been analyzed whether they have a significant relationship or not. We have tested the proposed multilingual tag matching method by collecting real-world tagging information from several well-known social tagging websites (e.g., Del.icio.us), and applied to translating queries to other languages without any external dictionary.

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References

  1. Jung, J.J.: Knowledge distribution via shared context between blog-based knowledge management systems: a case study of collaborative tagging. Expert Systems with Applications 36(7), 10627–10633 (2009)

    Article  Google Scholar 

  2. Pautasso, C.: Restful web service composition with bpel for rest. Data & Knowledge Engineering 68(9), 851–866 (2009)

    Article  Google Scholar 

  3. Granell, C., Díaz, L., Gould, M.: Service-oriented applications for environmental models: Reusable geospatial services. Environmental Modelling & Software 25(2), 182–198 (2010)

    Article  Google Scholar 

  4. Lévy, P.: Collective Intelligence: Mankind’s Emerging World in Cyberspace. Basic Books, New York (1994)

    Google Scholar 

  5. Pentland, A.: On the collective nature of human intelligence. Adaptive Behavior 15(2), 189–198 (2007)

    Article  Google Scholar 

  6. Cattuto, C., Benz, D., Hotho, A., Stumme, G.: Semantic grounding of tag relatedness in social bookmarking systems. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 615–631. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. Jung, J.J.: Query transformation based on semantic centrality in semantic social network. Journal of Universal Computer Science 14(7), 1031–1047 (2008)

    Google Scholar 

  8. Görlitz, O., Sizov, S., Staab, S.: Tagster - tagging-based distributed content sharing. In: Bechhofer, S., Hauswirth, M., Hoffmann, J., Koubarakis, M. (eds.) ESWC 2008. LNCS, vol. 5021, pp. 807–811. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Sheridan, P., Ballerini, J.P.: Experiments in multilingual information retrieval using the SPIDER system. In: Frei, H.P., Harman, D., Schäuble, P., Wilkinson, R. (eds.) Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 1996), Zurich, Switzerland, pp. 58–65. ACM, New York (1996)

    Chapter  Google Scholar 

  10. Vuorikari, R., Ochoa, X., Duval, E.: Analysis of user behavior on multilingual tagging of learning resources. In: Proceedings of the 1st Workshop on Social Information Retrieval for Technology-Enhanced Learning, pp. 6–17 (2007)

    Google Scholar 

  11. Kim, H.L., Scerri, S., Breslin, J.G., Decker, S., Kim, H.G.: The state of the art in tag ontologies: a semantic model for tagging and folksonomies. In: Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications (DCMI 2008), pp. 128–137. Dublin Core Metadata Initiative (2008)

    Google Scholar 

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Authors and Affiliations

  1. Knowledge Engineering Laboratory, Department of Computer Engineering, Yeungnam University, Gyeongsan, Korea, 712-749

    Jason J. Jung

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  1. Jason J. Jung
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Editor information

Editors and Affiliations

  1. Dept. of Computing and Numerical Analysis, University of Cordoba, Campus Universitario de Rabanales, Einstein Building, 3rd floor,, 14071, Cordoba, Spain

    Nicolás García-Pedrajas

  2. Dept. of Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    Francisco Herrera

  3. School of Computing, University of the West of Scotland, PA1 2BE, Paisley, UK

    Colin Fyfe

  4. Dept. Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    José Manuel Benítez

  5. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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Jung, J.J. (2010). Matching Multilingual Tags Based on Community of Lingual Practice from Multiple Folksonomy: A Preliminary Result. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13025-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-13025-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13024-3

  • Online ISBN: 978-3-642-13025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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