caa a22 4500 467884110 CHVBK 20180406152729.0 cr unu---uuuuu 170328e20060601xx s 000 0 eng 10.1007/s10032-006-0017-x doi (NATIONALLICENCE)springer-10.1007/s10032-006-0017-x Table-processing paradigms: a research survey [Elektronische Daten] [David Embley, Matthew Hurst, Daniel Lopresti, George Nagy] Tables are a ubiquitous form of communication. While everyone seems to know what a table is, a precise, analytical definition of "tabularity” remains elusive because some bureaucratic forms, multicolumn text layouts, and schematic drawings share many characteristics of tables. There are significant differences between typeset tables, electronic files designed for display of tables, and tables in symbolic form intended for information retrieval. Most past research has addressed the extraction of low-level geometric information from raster images of tables scanned from printed documents, although there is growing interest in the processing of tables in electronic form as well. Recent research on table composition and table analysis has improved our understanding of the distinction between the logical and physical structures of tables, and has led to improved formalisms for modeling tables. This review, which is structured in terms of generalized paradigms for table processing, indicates that progress on half-a-dozen specific research issues would open the door to using existing paper and electronic tables for database update, tabular browsing, structured information retrieval through graphical and audio interfaces, multimedia table editing, and platform-independent display. Springer-Verlag, 2006 Document analysis nationallicence Table recognition nationallicence Table understanding nationallicence Embley David Computer Science Department, Brigham Young University, 84602, Provo, UT, USA aut Hurst Matthew Intelliseek Applied Research Center, 15213, Pittsburgh, PA, USA aut Lopresti Daniel Department of Computer Science and Engineering, Lehigh University, 18015, Bethlehem, PA, USA aut Nagy George Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA aut International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/2-3(2006-06-01), 66-86 1433-2833 8:2-3<66 2006 8 10032 https://doi.org/10.1007/s10032-006-0017-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-006-0017-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Embley David Computer Science Department, Brigham Young University, 84602, Provo, UT, USA aut NATIONALLICENCE 700 1- Hurst Matthew Intelliseek Applied Research Center, 15213, Pittsburgh, PA, USA aut NATIONALLICENCE 700 1- Lopresti Daniel Department of Computer Science and Engineering, Lehigh University, 18015, Bethlehem, PA, USA aut NATIONALLICENCE 700 1- Nagy George Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, 12180, Troy, NY, USA aut NATIONALLICENCE 773 0- International Journal of Document Analysis and Recognition (IJDAR) Springer-Verlag 8/2-3(2006-06-01), 66-86 1433-2833 8:2-3<66 2006 8 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer