This system will be undergoing maintenance Friday, March 31 from 9:00 AM to 10:00 AM CDT.

Extracting and Parsing of Herbarium Specimen Data: Exploring the Use of the Dublin Core Application Profile Framework

One of 6 papers in the series: Apiary Project available on this site.

PDF Version Also Available for Download.

Description

Paper for the 2010 International iConference. This paper discusses extraction and parsing of herbarium specimen data to make the critical information available in digital form.

Physical Description

7 p.

Creation Information

Moen, William E.; Huang, Jane Q.; McCotter, Melody; Neill, Amanda K. & Best, Jason H. February 2010.

Context

This paper 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 222 times . More information about this paper can be viewed below.

Who

People and organizations associated with either the creation of this paper or its content.

Authors

Rights Holders

For guidance see Citations, Rights, Re-Use.

  • Unknown

Provided By

UNT College of Information

The UNT College of Information educates students and advances domains of knowledge in information science, library science, computing and technology systems, learning and cognition, and human performance.

Contact Us

What

Descriptive information to help identify this paper. Follow the links below to find similar items on the Digital Library.

Titles

  • Main Title: Extracting and Parsing of Herbarium Specimen Data: Exploring the Use of the Dublin Core Application Profile Framework
  • Series Title: Apiary Project

Degree Information

Description

Paper for the 2010 International iConference. This paper discusses extraction and parsing of herbarium specimen data to make the critical information available in digital form.

Physical Description

7 p.

Notes

Abstract: Herbaria around the world house millions of plant specimens; botanists and other researchers value these resources as ingredients in biodiversity research. Even when the specimen sheets are digitized and made available online, the critical information about the specimen stored on the sheet are not in a usable (i.e., machine-processible) form. This paper describes a current research and development project that is designing and testing high-throughput workflows that combine machine- and human-processes to extract and parse the specimen label data. The primary focus of the paper is the metadata needs for the workflow and the creation of the structured metadata records describing the plant specimen. In the project, the authors are exploring the use of the new Dublin Core Metadata Initiative framework for application profiles. First articulated as the Singapore Framework for Dublin Core Application Profiles in 2007, the use of this framework is in its infancy. The promises of this framework for maximum interoperability and for documenting the use of metadata for maximum reusability, and for supporting metadata applications that are in conformance with Web architectural principles provide the incentive to explore and add implementation experience regarding this new framework.

Source

  • iConference, 2010, Champaign-Urbana, Illinois, United States

Language

Item Type

Collections

This paper is part of the following collection of related materials.

UNT Scholarly Works

The Scholarly Works Collection is home to materials from the University of North Texas community's research, creative, and scholarly activities and serves as UNT's Open Access Repository. It brings together articles, papers, artwork, music, research data, reports, presentations, and other scholarly and creative products representing the expertise in our university community.** Access to some items in this collection may be restricted.**

What responsibilities do I have when using this paper?

When

Dates and time periods associated with this paper.

Creation Date

  • February 2010

Added to The UNT Digital Library

  • April 6, 2012, 2:30 p.m.

Description Last Updated

  • April 2, 2015, 12:43 p.m.

Usage Statistics

When was this paper last used?

Yesterday: 0
Past 30 days: 3
Total Uses: 222

Interact With This Paper

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

Moen, William E.; Huang, Jane Q.; McCotter, Melody; Neill, Amanda K. & Best, Jason H. Extracting and Parsing of Herbarium Specimen Data: Exploring the Use of the Dublin Core Application Profile Framework, paper, February 2010; (digital.library.unt.edu/ark:/67531/metadc81386/: accessed March 30, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.