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  Partner: UNT College of Information
 Serial/Series Title: Apiary Project
The Apiary Project: High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data
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. digital.library.unt.edu/ark:/67531/metadc81372/
An Application Profile Using Darwin Core Rendered in the New Dublin Core Application Profile Framework
Poster presented at the 2009 Taxonomic Database Working Group Annual Conference. This poster discusses an application profile using Darwin Core rendered in the new Dublin Core application profile framework. 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. digital.library.unt.edu/ark:/67531/metadc81371/
An Event Model for Herbarium Specimen Data in XML
Poster presented at the 2010 Taxonomic Database Working Group Meeting. This poster discusses 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. digital.library.unt.edu/ark:/67531/metadc81369/
An Event Model for Herbarium Specimen Data in XML Poster Abstract
This abstract describes a poster about the Apiary Project. 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, is building a framework and web-based workflow for the extraction and parsing of herbarium specimen data. The workflow will support the transformation of written or printed specimen data into a high-quality machine-processable XML format. This poster describes an event model that informed the development of the Apiary XML Application Schema digital.library.unt.edu/ark:/67531/metadc81384/
Extracting and Parsing of Herbarium Specimen Data: Exploring the Use of the Dublin Core Application Profile Framework
This paper discusses extraction and parsing of herbarium specimen data to make the critical information available in digital form. digital.library.unt.edu/ark:/67531/metadc81386/
High-Throughput Workflow for Computer-Assisted Human Parsing of Biological Specimen Label Data
This grant proposal is for the United States Institute of Museum and Library Services National Leadership Grant. Abstract: The University of North Texas's Texas Center for Digital Knowledge (TxCDK) and the Botanical Research Institute of Texas (BRIT) will conduct fundamental research with the goal of identifying how human intelligence can be combined with machine processes for effective and efficient transformation of textual museum specimen label information into high-quality machine-processible parsed data. This two-year project will advance understanding of the workflow and processes best able to increase access to and use of digitized biological collection metadata within the stakeholder communities comprised of biologists, natural history museum collections managers, biodiversity standards groups, and the library and information science community. A key challenge faced by all natural history collections is determining a transformation process that yields high-quality results in a cost- and time-efficient manner. The results of this research will yield a new workflow model for effective and efficient label data transformation, correction, and enhancement that can be replicated, adapted, and transferred to herbaria and other natural history collections. digital.library.unt.edu/ark:/67531/metadc81387/