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Mayer-Schnberger V, Cukier K. Big Data: A Revolution That Will Transform How We Live, Work, and Think[M]. Boston: Houghton Mifflin Harcourt, 2013.
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China Argo News Letter, 2014, NO.2.
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Argo data center in China, http://www.argo.org.cn/
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Chui M, Brown B, Bughin J, et al. Big data: The next frontier for innovation, competition, and productivity[R]. McKinsey Global Institute, 2011.
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Hurst M. Layout and language: Challenges for table understanding on the web[EB/OL]. http://cgi.csc.liv.ac.uk/~wda2001/Papers/12_hurst_wda2001.pdf.
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Embley D W, Tao C, Liddle S W. Automating the extraction of data from HTML tables with unknown structure[J]. Data & Knowledge Engineering, 2005, 54(1): 3-28.
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Douglas S, Hurst M, Quinn D, et al. Using natural language processing for identifying and interpreting tables in plain text[J]. Proceedings of the Fourth Annual Symposium on Document Analysis and Information Retrieval, 1997, 21(2-4): 231-243.
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Gatterbauer W, Bohunsky P, Herzog M, et al. Towards domain-independent information extraction from web tables[C]// Proceedings of the16th International Conference on World Wide Web. Banff, Canada: ACM Press, 2007: 71-80.
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Ferrucci D, Lally A. UIMA: An architectural approach to unstructured information processing in the corporate research environment[J]. Natural Language Engineering, 2004, 10(3-4): 327-348.
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Pivk A, Sure Y, Cimiano P, et al. Transforming arbitrary tables into logical form with tartar[J]. Data & Knowledge Engineering, 2007, 60(3): 567-595.
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Pinto D, McCallum A, Wei X, et al. Table extraction using conditional random fields[C]// Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval. Tprpnto, Canada: ACM Press, 2003: 235-242.
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Duygulu P, Atalay V. A hierarchical representation of form documents for identification and retrieval[J]. International Journal on Document Analysis and Recognition, 1995, 5(1): 17-27.
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Tijerino Y A, Embley D W, Lonsdale D W, et al. Towards ontology generation from tables[J]. World Wide Web: Internet and Web Information Systems, 2005, 8(3): 261-285.
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Shigarov A O. Table understanding using a rule engine[J]. Expert Systems with Applications, 2015, 42(2): 929-937.
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[15] |
Lopresti D, Nagy G. A tabular survey of automated table processing[C]// Graphics Recognition Recent Advances. Springer, 2000: 93-120.
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[16] |
Wang X. Tabular abstraction, editing, and formatting[D]. University of Waterloo, Canada, 1996.
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[17] |
Kumar T V V, Goel A, Jain N. Mining information for constructing materialised views[J]. International Journal of Information and Communication Technology, 2010, 2(4): 386-405.
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[18] |
Frakes W B, Baeza-Yates R. Information Retrieval: Data Structure and Algorithms[M]. Upper Saddle River, USA: Prentice-Hall, 1992.)
|
[1] |
Mayer-Schnberger V, Cukier K. Big Data: A Revolution That Will Transform How We Live, Work, and Think[M]. Boston: Houghton Mifflin Harcourt, 2013.
|
[2] |
China Argo News Letter, 2014, NO.2.
|
[3] |
Argo data center in China, http://www.argo.org.cn/
|
[4] |
Chui M, Brown B, Bughin J, et al. Big data: The next frontier for innovation, competition, and productivity[R]. McKinsey Global Institute, 2011.
|
[5] |
Hurst M. Layout and language: Challenges for table understanding on the web[EB/OL]. http://cgi.csc.liv.ac.uk/~wda2001/Papers/12_hurst_wda2001.pdf.
|
[6] |
Embley D W, Tao C, Liddle S W. Automating the extraction of data from HTML tables with unknown structure[J]. Data & Knowledge Engineering, 2005, 54(1): 3-28.
|
[7] |
Douglas S, Hurst M, Quinn D, et al. Using natural language processing for identifying and interpreting tables in plain text[J]. Proceedings of the Fourth Annual Symposium on Document Analysis and Information Retrieval, 1997, 21(2-4): 231-243.
|
[8] |
Gatterbauer W, Bohunsky P, Herzog M, et al. Towards domain-independent information extraction from web tables[C]// Proceedings of the16th International Conference on World Wide Web. Banff, Canada: ACM Press, 2007: 71-80.
|
[9] |
Ferrucci D, Lally A. UIMA: An architectural approach to unstructured information processing in the corporate research environment[J]. Natural Language Engineering, 2004, 10(3-4): 327-348.
|
[10] |
Pivk A, Sure Y, Cimiano P, et al. Transforming arbitrary tables into logical form with tartar[J]. Data & Knowledge Engineering, 2007, 60(3): 567-595.
|
[11] |
Pinto D, McCallum A, Wei X, et al. Table extraction using conditional random fields[C]// Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval. Tprpnto, Canada: ACM Press, 2003: 235-242.
|
[12] |
Duygulu P, Atalay V. A hierarchical representation of form documents for identification and retrieval[J]. International Journal on Document Analysis and Recognition, 1995, 5(1): 17-27.
|
[13] |
Tijerino Y A, Embley D W, Lonsdale D W, et al. Towards ontology generation from tables[J]. World Wide Web: Internet and Web Information Systems, 2005, 8(3): 261-285.
|
[14] |
Shigarov A O. Table understanding using a rule engine[J]. Expert Systems with Applications, 2015, 42(2): 929-937.
|
[15] |
Lopresti D, Nagy G. A tabular survey of automated table processing[C]// Graphics Recognition Recent Advances. Springer, 2000: 93-120.
|
[16] |
Wang X. Tabular abstraction, editing, and formatting[D]. University of Waterloo, Canada, 1996.
|
[17] |
Kumar T V V, Goel A, Jain N. Mining information for constructing materialised views[J]. International Journal of Information and Communication Technology, 2010, 2(4): 386-405.
|
[18] |
Frakes W B, Baeza-Yates R. Information Retrieval: Data Structure and Algorithms[M]. Upper Saddle River, USA: Prentice-Hall, 1992.)
|