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Table extraction is the process of recognizing and separating a table from a large document, possibly also recognizing individual rows, columns or elements. It may be regarded as a special form of information extraction.

Table extractions from webpages can take advantage of the special HTML elements that exist for tables, e.g., the "table" tag, and programming libraries may implement table extraction from webpages. The Python pandas software library can extract tables from HTML webpages via its read_html() function.

More challenging is table extraction from PDFs or scanned images, where there usually is no table-specific machine readable markup. Systems that extract data from tables in scientific PDFs have been described.

Wikipedia presents some of its information in tables, and, e.g., 3.5 million tables can be extracted from the English Wikipedia. Some of the tables have a specific format, e.g., the so-called infoboxes. Large-scale table extraction of Wikipedia infoboxes forms one of the sources for DBpedia.

Commercial web services for table extraction exist, e.g., Amazon Textract, Google's Document AI, IBM Watson Discovery, and Microsoft Form Recognizer. Open source tools also exist, e.g., PDFFigures 2.0 that has been used in Semantic Scholar. In a comparison published in 2017, the researchers found the proprietary program ABBYY FineReader to yield the best PDF table extraction performance among six different tools evaluated.

Scholia has a topic profile for Table extraction.
  1. Douglas Burdick; Marina Danilevsky; Alexandre V Evfimievski; Yannis Katsis; Nancy Wang (August 2020). "Table extraction and understanding for scientific and enterprise applications". Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases. 13 (12): 3433–3436. doi:10.14778/3415478.3415563. ISSN 2150-8097. Wikidata Q108170445.
  2. Wenhao Yu; Wei Peng; Yu Shu; Qingkai Zeng; Meng Jiang (19 April 2020). Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. Proceedings of The Web Conference 2020. pp. 951–961. doi:10.1145/3366423.3380174. ISBN 978-1-4503-7023-3. Wikidata Q108172460.
  3. Benno Kruit; Hongyu He; Jacopo Urbani (1 November 2020). Tab2Know: Building a Knowledge Base from Tables in Scientific Papers. The Semantic Web – ISWC 2020: 19th International Semantic Web Conference, Athens, Greece, November 2–6, 2020, Proceedings, Part I. Lecture Notes in Computer Science. pp. 349–365. doi:10.1007/978-3-030-62419-4_20. ISBN 978-3-030-62419-4. Wikidata Q101086651.
  4. Tobias Bleifuß; Leon Bornemann; Dmitri V. Kalashnikov; Felix Naumann; Divesh Srivastava (17 August 2021). "The Secret Life of Wikipedia Tables"(PDF). Proceedings of the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores. CEUR Workshop Proceedings: 20–26. Wikidata Q108215401.
  5. Sören Auer; Christian Bizer; Georgi Kobilarov; Jens Lehmann; Richard Cyganiak; Zachary Ives (2007). DBpedia: A Nucleus for a Web of Open Data. The Semantic Web: 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea, November 11-15, 2007. Proceedings. Lecture Notes in Computer Science. pp. 722–735. doi:10.1007/978-3-540-76298-0_52. ISBN 978-3-540-76297-3. Wikidata Q27910422.
  6. Christopher Clark; Santosh Divvala (2016). PDFFigures 2.0: Mining figures from research papers. Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries. ISBN 978-1-4503-4229-2. Wikidata Q108172042.
  7. Andreiwid Sheffer Corrêa; Pär-Ola Zander (7 June 2017), Unleashing Tabular Content to Open Data: A Survey on PDF Table Extraction Methods and Tools, doi:10.1145/3085228.3085278, Wikidata Q108173686
Table extraction Article Talk Language Watch Edit Table extraction is the process of recognizing and separating a table from a large document possibly also recognizing individual rows columns or elements It may be regarded as a special form of information extraction Table extractions from webpages can take advantage of the special HTML elements that exist for tables e g the table tag and programming libraries may implement table extraction from webpages The Python pandas software library can extract tables from HTML webpages via its read html function More challenging is table extraction from PDFs or scanned images where there usually is no table specific machine readable markup 1 Systems that extract data from tables in scientific PDFs have been described 2 3 Wikipedia presents some of its information in tables and e g 3 5 million tables can be extracted from the English Wikipedia 4 Some of the tables have a specific format e g the so called infoboxes Large scale table extraction of Wikipedia infoboxes forms one of the sources for DBpedia 5 Commercial web services for table extraction exist e g Amazon Textract Google s Document AI IBM Watson Discovery and Microsoft Form Recognizer 1 Open source tools also exist e g PDFFigures 2 0 that has been used in Semantic Scholar 6 In a comparison published in 2017 the researchers found the proprietary program ABBYY FineReader to yield the best PDF table extraction performance among six different tools evaluated 7 References EditScholia has a topic profile for Table extraction a b Douglas Burdick Marina Danilevsky Alexandre V Evfimievski Yannis Katsis Nancy Wang August 2020 Table extraction and understanding for scientific and enterprise applications Proceedings of the VLDB Endowment International Conference on Very Large Data Bases 13 12 3433 3436 doi 10 14778 3415478 3415563 ISSN 2150 8097 Wikidata Q108170445 Wenhao Yu Wei Peng Yu Shu Qingkai Zeng Meng Jiang 19 April 2020 Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning Proceedings of The Web Conference 2020 pp 951 961 doi 10 1145 3366423 3380174 ISBN 978 1 4503 7023 3 Wikidata Q108172460 Benno Kruit Hongyu He Jacopo Urbani 1 November 2020 Tab2Know Building a Knowledge Base from Tables in Scientific Papers The Semantic Web ISWC 2020 19th International Semantic Web Conference Athens Greece November 2 6 2020 Proceedings Part I Lecture Notes in Computer Science pp 349 365 doi 10 1007 978 3 030 62419 4 20 ISBN 978 3 030 62419 4 Wikidata Q101086651 Tobias Bleifuss Leon Bornemann Dmitri V Kalashnikov Felix Naumann Divesh Srivastava 17 August 2021 The Secret Life of Wikipedia Tables PDF Proceedings of the 2nd Workshop on Search Exploration and Analysis in Heterogeneous Datastores CEUR Workshop Proceedings 20 26 Wikidata Q108215401 Soren Auer Christian Bizer Georgi Kobilarov Jens Lehmann Richard Cyganiak Zachary Ives 2007 DBpedia A Nucleus for a Web of Open Data The Semantic Web 6th International Semantic Web Conference 2nd Asian Semantic Web Conference ISWC 2007 ASWC 2007 Busan Korea November 11 15 2007 Proceedings Lecture Notes in Computer Science pp 722 735 doi 10 1007 978 3 540 76298 0 52 ISBN 978 3 540 76297 3 Wikidata Q27910422 Christopher Clark Santosh Divvala 2016 PDFFigures 2 0 Mining figures from research papers Proceedings of the 16th ACM IEEE CS Joint Conference on Digital Libraries ISBN 978 1 4503 4229 2 Wikidata Q108172042 Andreiwid Sheffer Correa Par Ola Zander 7 June 2017 Unleashing Tabular Content to Open Data A Survey on PDF Table Extraction Methods and Tools doi 10 1145 3085228 3085278 Wikidata Q108173686 Retrieved from https en wikipedia org w index php title Table extraction amp oldid 1061383696, wikipedia, wiki, book,

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