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Towards a high quality and web-scalable table search engine

Published: 20 May 2012 Publication History

Abstract

For over a decade, a large number of studies have explored efficient mechanisms for finding relevant information from structured sources such as relational, semi-structured, and graph databases. While successful in its own right, keyword search over structured data has yet to gain wide spread adoption on the Web, and it is not because of the lack of structured data on the Web. In fact, the Web offers orders of magnitude more structured data than any offline data source: 14 billions tables can be gathered just by considering page content between the table tags. The main reason is that keyword search over structured data on the Web presents a unique set of challenges that are quite different from its non-Web counterparts, as well as different from searching over documents (where the search engines have excelled). In this talk, I will discuss those challenges and our approaches in addressing them at Google's WebTables project. In particular, I will present the table search engine, our initial effort toward building a high quality and scalable structured data search engine, along with our other efforts on managing structured data on the Web.

Cited By

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  • (2021)Automatic Construction of RDF with Web TablesExpert Systems with Applications10.1016/j.eswa.2021.115200(115200)Online publication date: May-2021
  • (2019)Generating Titles for Web TablesThe World Wide Web Conference10.1145/3308558.3313399(638-647)Online publication date: 13-May-2019
  • (2018)Web Table Understanding by Collective InferenceProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271729(217-226)Online publication date: 17-Oct-2018
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      cover image ACM Conferences
      KEYS '12: Proceedings of the Third International Workshop on Keyword Search on Structured Data
      May 2012
      78 pages
      ISBN:9781450311984
      DOI:10.1145/2254736
      • General Chairs:
      • Ling Tok Wang,
      • Ge Yu,
      • Jiaheng Lu,
      • Wei Wang

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 20 May 2012

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      Author Tags

      1. FusionTables
      2. WebTables
      3. search
      4. structured data

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      Cited By

      View all
      • (2021)Automatic Construction of RDF with Web TablesExpert Systems with Applications10.1016/j.eswa.2021.115200(115200)Online publication date: May-2021
      • (2019)Generating Titles for Web TablesThe World Wide Web Conference10.1145/3308558.3313399(638-647)Online publication date: 13-May-2019
      • (2018)Web Table Understanding by Collective InferenceProceedings of the 27th ACM International Conference on Information and Knowledge Management10.1145/3269206.3271729(217-226)Online publication date: 17-Oct-2018
      • (2015)Inferencing in information extraction: Techniques and applications2015 IEEE 31st International Conference on Data Engineering10.1109/ICDE.2015.7113420(1534-1537)Online publication date: Apr-2015
      • (2014)Near neighbor join2014 IEEE 30th International Conference on Data Engineering10.1109/ICDE.2014.6816728(1120-1131)Online publication date: Mar-2014

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