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Query-Based Learning of XPath Expressions

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Grammatical Inference: Algorithms and Applications (ICGI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4201))

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Abstract

This work analyzes the application of active learning using example-based queries to the problem of constructing an XPath expression from visual interaction with an human user.

This work was supported by the Austrian Science Fund under project No. L47-N04 and REWERSE, Network of Excellence, 6th European Framework Program.

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References

  1. Angluin, D.: Negative results for equivalence queries. Machine Learning 5(2), 121–150 (1990)

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  2. W3C Consortium. XML Path Language (XPath) (1999), Published on: http://www.w3.org/TR/xpath/

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Author information

Authors and Affiliations

  1. Database and Artificial Intelligence Group, Vienna University of Technology, Austria

    Julien Carme, Michal Ceresna & Max Goebel

Authors
  1. Julien Carme
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  2. Michal Ceresna
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  3. Max Goebel
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Editor information

Editors and Affiliations

  1. Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, 223-8522, Yokohama, Japan

    Yasubumi Sakakibara

  2. Dept. of Computer Science, Kyoto Sangyo University, Kamigamo Motoyama, Kita-ku, Kyoto, Japan

    Satoshi Kobayashi

  3. Japan Biological Informatics Consortium, 10F TIME24 Building, 2-45 Aomi, Koto-ku, 135-8073, Tokyo, Japan

    Kengo Sato

  4. Department of Information and Communication Engineering, Graduate School of Electro-Communications, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, 182-8585, Tokyo, Japan

    Tetsuro Nishino

  5. Department of Information and Communication Engineering, Faculty of Electro-Communications, The University of Electro-Communications, Chofugaoka 1–5–1, Chofu, 182-8585, Tokyo, Japan

    Etsuji Tomita

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© 2006 Springer-Verlag Berlin Heidelberg

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Carme, J., Ceresna, M., Goebel, M. (2006). Query-Based Learning of XPath Expressions. In: Sakakibara, Y., Kobayashi, S., Sato, K., Nishino, T., Tomita, E. (eds) Grammatical Inference: Algorithms and Applications. ICGI 2006. Lecture Notes in Computer Science(), vol 4201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872436_29

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  • DOI: https://doi.org/10.1007/11872436_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45264-5

  • Online ISBN: 978-3-540-45265-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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