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Web Information Extraction

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Recommended Reading

  1. Akbik A, Konomi O, Melnikov M. Propminer: a workflow for interactive information extraction and exploration using dependency trees. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics; 2013.

    Google Scholar 

  2. Appelt DE, Onyshkevych B. The common pattern specification language. In: Proceedings of the TIPSTER Text Program: Phase III. 1998.

    Google Scholar 

  3. Atasu K, Polig R, Hagleitner C, Reiss FR. Hardware-accelerated regular expression matching for high-throughput text analytics. In: Proceedings of the 23rd International Conference on Field programmable Logic and Applications; 2013. p. 1–7.

    Google Scholar 

  4. Boguraev B. Annotation-based finite state processing in a large-scale NLP architecture. In: Proceedings of the International Conference on Recent Advances in Natural Language Processing. 2003.

    Google Scholar 

  5. Bohannon P, Merugu S, Yu C, Agarwal V, DeRose P, Iyer AS, Jain A, Kakade V, Muralidharan M, Ramakrishnan R, Shen W. Purple sox extraction management system. SIGMOD Rec. 2008;37(4):21–27.

    Article  Google Scholar 

  6. Brauer F, Rieger R, Mocan A, Barczynski WM. Enabling information extraction by inference of regular expressions from sample entities. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management; 2011.

    Google Scholar 

  7. Burdick D, Hernández M, Ho H, Koutrika G, Krishnamurthy R, Popa L, Stanoi IR, Vaithyanathan S, Das S. Extracting, linking and integrating data from public sources: a financial case study. IEEE Data Eng Bull. 2011;34(3):60–67.

    Google Scholar 

  8. Cafarella MJ, Etzion O. A search engine for natural language applications. In: Proceedings of the 14th International World Wide Web Conference; 2005.

    Google Scholar 

  9. Chiticariu L, Krishnamurthy R, Li Y, Raghavan S, Reiss F, Vaithyanathan S. Systemt: an algebraic approach to declarative information extraction. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics; 2010.

    Google Scholar 

  10. Chiticariu L, Krishnamurthy R, Li Y, Reiss F, Vaithyanathan S. Domain adaptation of rule-based annotators for named-entity recognition tasks. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing; 2010.

    Google Scholar 

  11. Chiticariu L, Li Y, Reiss FR. Rule-based information extraction is dead! long live rule-based information extraction systems! In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing; 2013.

    Google Scholar 

  12. Cohen W, McCallum A. Information extraction from the world wide web. In: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2003.

    Google Scholar 

  13. Cunningham H. Information extraction, automatic. In: Encyclopedia of language and linguistics. 2nd ed. Elsevier; Amsterdam. 2005.

    Chapter  Google Scholar 

  14. Doan A, Ramakrishnan R, Vaithyanathan S. Managing information extraction: state of the art and research directions. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2006.

    Google Scholar 

  15. Grishman R, Sundheim B. Message understanding conference-6: a brief history. In: Proceedings of the 16th International Conference on Computational Linguistics; 1996.

    Google Scholar 

  16. Huang J, Chen T, Doan A, Naughton JF. On the provenance of non-answers to queries over extracted data. Proc VLDB Endow;1(1):736–747

    Article  Google Scholar 

  17. Lafferty J, McCallum A, Pereira F. Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the 18th International Conference on Machine Learning; 2001.

    Google Scholar 

  18. Li Y, Chu V, Blohm S, Zhu H, Ho H. Facilitating pattern discovery for relation extraction with semantic-signature-based clustering. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management; 2011.

    Google Scholar 

  19. Li Y, Krishnamurthy R, Raghavan S, Vaithyanathan S, Jagadish HV. Regular expression learning for information extraction. In: Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing; 2008.

    Google Scholar 

  20. Li Y, Krishnamurthy R, Vaithyanathan S, Jagadish H. Getting work done on the web: supporting transactional queries. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval; 2006.

    Google Scholar 

  21. Liu B, Chiticariu L, Chu V, Jagadish HV, Reiss F. Automatic rule refinement for information extraction.: Proc VLDB Endow. 2010;3(1):588–97.

    Article  Google Scholar 

  22. Nagesh A, Ramakrishnan G, Chiticariu L, Krishnamurthy R, Dharkar A, Bhattacharyya P. Towards efficient named-entity rule induction for customizability. In: Proceedings of the 2012 Conference on Empirical Methods on Natural Language Processing and Computational Natural Language Learning; 2012.

    Google Scholar 

  23. Reiss F, Raghavan S, Krishnamurthy R, Zhu H, Vaithyanathan S. An algebraic approach to rule-based information extraction. In: Proceedings of the 24th International Conference on Data Engineering; 2008.

    Google Scholar 

  24. Riloff E. Automatically constructing a dictionary for information extraction tasks. In: Proceedings of the 11th National Conference on Artificial Intelligence; 1993.

    Google Scholar 

  25. Roy S, Chiticariu L, Feldman V, Reiss F, Zhu H. Provenance-based dictionary refinement in information extraction. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2013.

    Google Scholar 

  26. Sarma AD, Jain A, Bohannon P. Building a generic debugger for information extraction pipelines. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management; 2011.

    Google Scholar 

  27. Sarma AD, Jain A, Srivastava D. I4e: interactive investigation of iterative information extraction. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 2010.

    Google Scholar 

  28. Shen W, Doan A, Naughton J, Ramakrishnan R. Declarative information extraction using datalog with embedded extraction predicates. In: Proceedings of the 33rd International Conference on Very Large Data Bases; 2007.

    Google Scholar 

  29. Wandelt S, Deng D, Gerdjikov S, Mishra S, Mitankin P, Patil M, Siragusa E, Tiskin A, Wang W, Wang J, Leser U. State-of-the-art in string similarity search and join. SIGMOD Rec. 2014;43(1):64–76.

    Article  Google Scholar 

  30. Wang DZ, Wei L, Li Y, Reiss F, Vaithyanathan S. Selectivity estimation for extraction operators over text data. In: Proceedings of the 27th International Conference on Data Engineering; 2011.

    Google Scholar 

  31. Zhang C, Baldwin T, Ho H, Kimelfeld B, Li Y. Adaptive parser-centric text normalization. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics; 2013. p. 1159–68.

    Google Scholar 

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Correspondence to Laura Chiticariu .

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Chiticariu, L. et al. (2018). Web Information Extraction. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_459

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