Efficient, intelligent systems for navigating the biological literature. Final report, September 15, 1993--September 14, 1996

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Description

The biological literature is huge and increasingly moving to electronic form. By developing a variety of new techniques, it should be possible to take advantage of this huge and growing electronic store. Computers should allow one to use the literature with greater efficiency and insight to disseminate information and to advance scientific understanding. Though there is a great deal of research and development effort focused on electronic text, e.g., the Digital Libraries initiative, little attention has been paid to the diagrammatic content of documents. However, it is common knowledge among biologists, and scientists in general, that the figures in documents ... continued below

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Medium: P; Size: 3 p.

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Futrelle, R. P. April 4, 1997.

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Description

The biological literature is huge and increasingly moving to electronic form. By developing a variety of new techniques, it should be possible to take advantage of this huge and growing electronic store. Computers should allow one to use the literature with greater efficiency and insight to disseminate information and to advance scientific understanding. Though there is a great deal of research and development effort focused on electronic text, e.g., the Digital Libraries initiative, little attention has been paid to the diagrammatic content of documents. However, it is common knowledge among biologists, and scientists in general, that the figures in documents are of critical importance. Little work has been done to develop principles and systems for analyzing, representing, and indexing and searching the diagrammatic content of electronic documents. This has been the main thrust of this research project. The primary work in the world on the analysis of graphics in documents has been focused on low-level issues relating to scanning legacy documents (hardcopy) and trying to discover the graphics elements in them. Graphics files, as opposed to image files, have lines, curves, polygons, text, etc., represented as discrete objects, as they are originally generated in drawing and graphing applications. This has been their focus, the starting point for all their analysis. Using their Diagram Understanding System the authors have been able to automatically analyze (parse) a score of complex data graphs and gene diagrams, accomplishing something that no other research group (or commercial product) has been able to achieve. These diagrams were ones drawn directly from published papers, not ones they made up.

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Medium: P; Size: 3 p.

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OSTI as DE98007204

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  • Other Information: PBD: 4 Apr 1997

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  • Other: DE98007204
  • Report No.: DOE/ER/61718--T1
  • Grant Number: FG02-93ER61718
  • DOI: 10.2172/661627 | External Link
  • Office of Scientific & Technical Information Report Number: 661627
  • Archival Resource Key: ark:/67531/metadc706902

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  • April 4, 1997

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  • Sept. 12, 2015, 6:31 a.m.

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  • Nov. 4, 2015, 5:45 p.m.

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Futrelle, R. P. Efficient, intelligent systems for navigating the biological literature. Final report, September 15, 1993--September 14, 1996, report, April 4, 1997; United States. (digital.library.unt.edu/ark:/67531/metadc706902/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.