Layout and language: preliminary investigations in recognizing the structure of tables

Hurst, Matthew; Douglas, Shona

doi:10.1109/icdar.1997.620668

Cited by 23 publications

(15 citation statements)

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“…Currently, this is considered outside the domain of table processing, though several research papers have began to explore the topic [7,8]. Table captions are similar to nearby ancillary information.…”

Section: External Informationmentioning

confidence: 99%

Notes on Contemporary Table Recognition

Embley

Lopresti

Nagy

2006

Document Analysis Systems VII

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Abstract. The shift of interest to web tables in HTML and PDF files, coupled with the incorporation of table analysis and conversion routines in commercial desktop document processing software, are likely to turn table recognition into more of a systems than an algorithmic issue. We illustrate the transition by some actual examples of web table conversion. We then suggest that the appropriate target format for table analysis, whether performed by conventional customized programs or by off-theshelf software, is a representation based on the abstract table introduced by X. Wang in 1996. We show that the Wang model is adequate for some useful tasks that prove elusive for less explicit representations, and outline our plans to develop a semi-automated table processing system to demonstrate this approach. Screen-snaphots of a prototype tool to allow table mark-up in the style of Wang are also presented.

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Section: External Informationmentioning

confidence: 99%

Notes on Contemporary Table Recognition

Embley

Lopresti

Nagy

2006

Document Analysis Systems VII

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“…Works on simpler visual structures, such as lists, reveal the inherent hierarchy manifested in nested bulleting and how that must be taken into consideration between the levels of the structure [12]. Appropriate markup can be used to assign logical structure arrangement to table cells [13], while navigation can be improved by additional markup annotation to add context to existing tables [14]. Other suggestions include automated approaches for retrieval of hierarchical data from HTML tables [15].…”

Section: Problem Formulationmentioning

confidence: 99%

Acoustic Rendering of Data Tables Using Earcons and Prosody for Document Accessibility

Spiliotopoulos

Stavropoulou

2009

Lecture Notes in Computer Science

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Abstract. Earlier works show that using a prosody specification that is derived from natural human spoken rendition, increases the naturalness and overall acceptance of speech synthesised complex visual structures by conveying to audio certain semantic information hidden in the visual structure. However, prosody alone, although exhibits significant improvement, cannot perform adequately in the cases of very large complex data tables browsed in a linear manner. This work reports on the use of earcons and spearcons combined with prosodically enriched aural rendition of simple and complex tables. Three spoken combinations earcons+prosody, spearcons+prosody, and prosody were evaluated in order to examine how the resulting acoustic output would improve the document-to-audio semantic correlation throughput from the visual modality. The results show that the use of non-speech sounds can further improve certain qualities, such as listening effort, a crucial parameter when vocalising any complex visual structure contained in a document.

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“…Already in 1997, Hurst and Douglas advocated converting tables into relational form: Once the relational structure of the table is known it can be manipulated for many purposes [43]. Hurst provided a taxonomy of category attributes in terms of is-a, part-of, unit-is, quantity-is.…”

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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Layout and language: preliminary investigations in recognizing the structure of tables

Cited by 23 publications

References 0 publications

Notes on Contemporary Table Recognition

Notes on Contemporary Table Recognition

Acoustic Rendering of Data Tables Using Earcons and Prosody for Document Accessibility

Converting heterogeneous statistical tables on the web to searchable databases

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