On Benchmarking of Invoice Analysis Systems

Klein, Bertin; Agne, Stefan; Dengel, Andreas

doi:10.1007/11669487_28

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…However, bureaucratic forms often have preprinted labels rather than indexing headers like tables. Forms like invoices are less tightly structured than tables [30]. Therefore we cannot take advantage of advanced forms processing methods like [31,32].…”

Section: Physical Structure Extractionmentioning

confidence: 99%

Converting heterogeneous statistical tables on the web to searchable databases

Embley

Krishnamoorthy

Nagy

et al. 2016

IJDAR

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Much of the world's quantitative data resides in scattered web tables. For a meaningful role in Big Data analytics, the facts reported in these tables must be brought into a uniform framework. Based on a formalization of header-indexed tables, we proffer an algorithmic solution to end-to-end table processing for a large class of humanreadable tables. The proposed algorithms transform headerindexed tables to a category table format that maps easily to a variety of industry-standard data stores for query processing. The algorithms segment table regions based on the unique indexing of the data region by header paths, classify table cells, and factor header category structures of two-dimensional as well as the less common multidimensional tables. Experimental evaluations substantiate the algorithmic approach to processing heterogeneous tables. As demonstrable results, the algorithms generate queryable relational database tables and semantic-web triple stores. Application of our algorithms to 400 web tables randomly selected from diverse sources shows that the algorithmic solution automates end-to-end table processing. document analysis table segmentation table analysis table header factoring end-to-end table processing· table headers queries over table data ___________________________________________ Keywords

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Section: Physical Structure Extractionmentioning

confidence: 99%