Mapping Physical Formats to Logical Models to Extract Data and Metadata: The Defuddle Parsing Engine

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Scientists, fueled by the desire for systems-level understanding of phenomena, increasingly need to share their results across multiple disciplines. Accomplishing this requires data to be annotated, contextualized, and readily searchable and translated into other formats. While these requirements can be addressed by custom programming or obviated by community standardization, neither approach has ‘solved’ the problem. In this paper, we describe a complementary approach – a general capability for articulating the format of arbitrary textual and binary data using a logical data model, expressed in XML-Schema, which can be used to provide annotation and context, extract metadata, and enable translation. This ... continued below

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Talbott, Tara D.; Schuchardt, Karen L.; Stephan, Eric G. & Myers, James D. July 25, 2006.

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Scientists, fueled by the desire for systems-level understanding of phenomena, increasingly need to share their results across multiple disciplines. Accomplishing this requires data to be annotated, contextualized, and readily searchable and translated into other formats. While these requirements can be addressed by custom programming or obviated by community standardization, neither approach has ‘solved’ the problem. In this paper, we describe a complementary approach – a general capability for articulating the format of arbitrary textual and binary data using a logical data model, expressed in XML-Schema, which can be used to provide annotation and context, extract metadata, and enable translation. This work is based on the draft specification for the Data Format Description Language and our open source “Defuddle” parser. We present an overview of the specification, detail the design of Defuddle, and discuss the benefits and challenges of this general approach to enabling discovery and sharing of diverse data sets.

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  • IPAW'06 International Provenance and Annotation Workshop, Chicago, Illinois, May 3-5 2006. Lecture Notes in Computer Science, 4145:73-81

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  • Report No.: PNNL-SA-48498
  • Grant Number: AC05-76RL01830
  • Office of Scientific & Technical Information Report Number: 892230
  • Archival Resource Key: ark:/67531/metadc883522

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  • July 25, 2006

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  • Sept. 21, 2016, 2:29 a.m.

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  • Nov. 29, 2016, 7:27 p.m.

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Talbott, Tara D.; Schuchardt, Karen L.; Stephan, Eric G. & Myers, James D. Mapping Physical Formats to Logical Models to Extract Data and Metadata: The Defuddle Parsing Engine, article, July 25, 2006; (digital.library.unt.edu/ark:/67531/metadc883522/: accessed November 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.