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Automatic Deep Web Table Segmentation by Domain Ontology

  • Conference paper
Computer Science for Environmental Engineering and EcoInformatics (CSEEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 159))

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Abstract

For deep web, abundant data information will be presented to users in the form of tables through query forms. Because of the isomerism of data source, to understand and integrate these tables is a very challenging task. This paper proposed a domain ontology based technique for integrating tables. As a method that is completely independent from the structure of tables, it could efficiently solve the nested and conjoined problems existed in complex tables. Experimental results prove that method’s effectiveness of improving the accuracy of integration.

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References

  1. Lerman, K., Getoor, L., Minton, S., Knoblock, C.: Using the Structure of Web Sites for Automatic Segmentation of Tables. In: Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, pp. 119–130 (2004)

    Google Scholar 

  2. Cai, D., Yu, S., Wen, J.-R., Ma, W.-Y.: VIPS: A Vision-based Page Segmentation Algorithm. Microsoft Technical Report. MSR-TR-2003-79 (2003)

    Google Scholar 

  3. Tao, C., Embley, D.W.: Automatic Hidden-web Table Interpretation by Sibling Page Comparison. In: Proceedings of the 26th International Conference on Conceptual Modeling, pp. 566–581 (2007)

    Google Scholar 

  4. Chen, K., Zuo, W., Zhang, F., He, F., Peng, T.: Automatic Generation of Domain-specific Ontology from Deep Web. Journal of Information and Computational Science 7(2), 519–525 (2010)

    Google Scholar 

  5. Zhao, H., Meng, W., Wu, Z., Raghavan, V., Yu, C.: Fully Automatic Wrapper Generation for Search Engines. In: Proceedings of the 14th international conference on World Wide Web, pp. 66–75 (2005)

    Google Scholar 

  6. Kushmerick, N.: Wrapper Induction: Efficiency and Expressiveness. Artificial Intelligence 118(3), 171–181 (2000)

    MathSciNet  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, Changchun, 130012, China

    Kerui Chen, Wanli Zuo, Fengling He & Yongheng Chen

  2. Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, Changchun, China

    Kerui Chen, Wanli Zuo, Fengling He & Yongheng Chen

Authors
  1. Kerui Chen
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  2. Wanli Zuo
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  3. Fengling He
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  4. Yongheng Chen
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Editor information

Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Yuanxu Yu

  2. Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

  3. International Association for Scientific and High Technology, Kunming, China

    Jingying Zhao

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© 2011 Springer-Verlag Berlin Heidelberg

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Chen, K., Zuo, W., He, F., Chen, Y. (2011). Automatic Deep Web Table Segmentation by Domain Ontology. In: Yu, Y., Yu, Z., Zhao, J. (eds) Computer Science for Environmental Engineering and EcoInformatics. CSEEE 2011. Communications in Computer and Information Science, vol 159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22691-5_32

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  • DOI: https://doi.org/10.1007/978-3-642-22691-5_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22690-8

  • Online ISBN: 978-3-642-22691-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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