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Table recognition in spreadsheets via a graph representation

Author
Koci, E.; Thiele, M.; Lehner, W.; Romero, O.
Type of activity
Presentation of work at congresses
Name of edition
13th IAPR International Workshop on Document Analysis Systems
Date of publication
2018
Presentation's date
2018-04-27
Book of congress proceedings
Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018
First page
139
Last page
144
DOI
https://doi.org/10.1109/DAS.2018.48 Open in new window
Repository
http://hdl.handle.net/2117/128001 Open in new window
URL
https://ieeexplore.ieee.org/document/8395185 Open in new window
Abstract
Spreadsheet software are very popular data management tools. Their ease of use and abundant functionalities equip novices and professionals alike with the means to generate, transform, analyze, and visualize data. As a result, spreadsheets are a great resource of factual and structured information. This accentuates the need to automatically understand and extract their contents. In this paper, we present a novel approach for recognizing tables in spreadsheets. Having inferred the layout role of ...
Citation
Koci, E. [et al.]. Table recognition in spreadsheets via a graph representation. A: IAPR International Workshop on Document Analysis Systems. "Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018". 2018, p. 139-144.
Keywords
Data management tools, Experimental evaluation, Graph, Graph representation, Information management, Rule based, Rule-based, Spreadsheet, Spreadsheet software, Spreadsheets, Structured information, Table Identification, Table Recognition
Group of research
IMP - Information Modelling and Processing
inLab FIB

Participants

  • Koci, Elvis  (author and speaker )
  • Thiele, Maik  (author and speaker )
  • Lehner, Wolfgang  (author and speaker )
  • Romero Moral, Oscar  (author and speaker )

Attachments