Description: This poster discusses 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

Description: This paper discusses extraction and parsing of herbarium specimen data. 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 ...