The Apiary Project: High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data

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Description

Presentation for the 2009 Society for the Preservation of Natural History Collections Meeting. This presentation discusses research on high-throughput workflow for computer-assisted human parsing of biological specimen label data. This is part of the Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas.

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6 p.

Creation Information

Best, Jason H.; Neill, Amanda K. & Moen, William E. July 2009.

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This presentation is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Information to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 173 times . More information about this presentation can be viewed below.

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  • Main Title: The Apiary Project: High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data
  • Series Title: Apiary Project

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Description

Presentation for the 2009 Society for the Preservation of Natural History Collections Meeting. This presentation discusses research on high-throughput workflow for computer-assisted human parsing of biological specimen label data. This is part of the Apiary Project, a collaboration of the Texas Center for Digital Knowledge at the University of North Texas and the Botanical Research Institute of Texas.

Physical Description

6 p.

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  • Society for the Preservation of Natural History Collections Meeting, 2009, Leiden, The Netherlands

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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Creation Date

  • July 2009

Added to The UNT Digital Library

  • April 6, 2012, 2:30 p.m.

Description Last Updated

  • May 28, 2014, 3:08 p.m.

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Best, Jason H.; Neill, Amanda K. & Moen, William E. The Apiary Project: High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data, presentation, July 2009; (digital.library.unt.edu/ark:/67531/metadc81372/: accessed August 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.