Table Recognition and Understanding from PDF Files

Hassan, Tamir; Baumgartner, Robert

doi:10.1109/icdar.2007.4377094

Cited by 46 publications

(28 citation statements)

References 5 publications

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“…This section describes results obtained by applying the PDF-TREX prototypical implementation to a dataset 3 …”

Section: Experiments and Discussionmentioning

confidence: 99%

“…[2]), just few approaches that deal with PDF and flat text document formats have been proposed in literature (e.g. [1,3,5,9]). Furthermore approaches working on PDF and flat text documents are less performing than those working on HTML documents.…”

Section: Related Workmentioning

confidence: 99%

“…Authors provide an experimental evaluation of the approach based on a dataset composed by 150 documents, but the dataset is not available so, a direct comparison with such an approach is impossible. Hassan et al [3] propose a method for detecting tables in PDF files. They group tables into three categories: tables with both horizontal and vertical ruling lines, tables which contain only horizontal ruling lines, and tables where ruling lines are absent.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents

Oro

Ruffolo

2009

2009 10th International Conference on Document Analysis and Recognition

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“…This section describes results obtained by applying the PDF-TREX prototypical implementation to a dataset 3 …”

Section: Experiments and Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents

Oro

Ruffolo

2009

2009 10th International Conference on Document Analysis and Recognition

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“…[2,3,5,6,7,12,13,14]. In recent years, some researchers even try to extend table analyzing technologies to other document formats like PDF files [4,8,9,10].…”

Section: Related Workmentioning

confidence: 99%

Enabling Interactive Access to Web Tables

Yang

Shi

2009

Human-Computer Interaction. New Trends

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Abstract. Tables are widely used in web pages. Unfortunately, most web tables can only be passively accessed but cannot be interactively accessed, that is, users can view information displayed in tables but cannot control the presentation of tables like sorting data and hiding or showing a column/row. Interactive access is especially useful when encountering large tables or browsing on small screens. In this paper, we propose to enable interactive access to genuine web tables based on automatic table detection and a good understanding of table contents. We designed and implemented a plug-in for the Microsoft Internet Explorer, called the iWebTable, which provides a customized user interface supporting interactive access to genuine web tables. Experimental results show that users are satisfied and really enjoy the interactive access mode to web tables, especially in such cases as they need to sort data in large tables or compare data in distant columns or rows.

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“…This way, Excel, Word, CSV and PDF documents are supported. With PDF documents, our own document understanding techniques are applied to create an HTML document that is not optimized in display, but in structure [13]. For instance, PDF tables are understood and converted to HTML tables.…”

Section: Web Data Extractionmentioning

confidence: 99%

Scalable web data extraction for online market intelligence

Baumgartner¹,

Gottlob

Herzog³

2009

Proc. VLDB Endow.

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Online market intelligence (OMI), in particular competitive intelligence for product pricing, is a very important application area for Web data extraction. However, OMI presents non-trivial challenges to data extraction technology. Sophisticated and highly parameterized navigation and extraction tasks are required. On-the-fly data cleansing is necessary in order two identify identical products from different suppliers. It must be possible to smoothly define data flow scenarios that merge and filter streams of extracted data stemming from several Web sites and store the resulting data into a data warehouse, where the data is subjected to market intelligence analytics. Finally, the system must be highly scalable, in order to be able to extract and process massive amounts of data in a short time. Lixto (www.lixto.com), a company offering data extraction tools and services, has been providing OMI solutions for several customers. In this paper we show how Lixto has tackled each of the above challenges by improving and extending its original data extraction software. Most importantly, we show how high scalability is achieved through cloud computing. This paper also features a case study from the computers and electronics market.

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Table Recognition and Understanding from PDF Files

Cited by 46 publications

References 5 publications

PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents

PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents

Enabling Interactive Access to Web Tables

Scalable web data extraction for online market intelligence

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