HIVE is an automatic metadata generation approach that dynamically integrates discipline-specific controlled vocabularies encoded with the Simple Knowledge Organisation System (SKOS), a World Wide Web Consortium (W3C) standard. HIVE will assist content creators and information professionals with subject cataloging and will provide a solution to the traditional controlled vocabulary problems of cost, interoperability, and usability.

The HIVE project has three components:

• Building HIVE addresses the need to provide efficient, affordable, interoperable, and user friendly access to multiple controlled vocabularies during metadata creation activities.
• Sharing HIVE focuses on continuing education for library, museum, and archival professionals by reinforcing the importance of new enabling technologies that can assist them with developing and using controlled vocabularies.
• Evaluating HIVE involves examining how the HIVE model works both within the “test-bed” of the Dryad repository (a digital repository linking data objects supporting published research) and in the larger library, museum, and archival environment.

The HIVE approach and model is designed to serve many audiences, and cater to the growing controlled vocabulary needs of curatorial and cataloging information professionals in the library, museum, and archival community. As our “sandbox,” Dryad will use HIVE to help scientist-author contributors in the digital repository environment describe data objects in the field of evolutionary biology.

HIVE partners include vocabulary leaders from the Library of Congress, the Getty Research Institute (GRI), and the United States Geological Survey (USGS); an advisory board of national and international metadata and vocabulary experts; and workshop coordinators at leading university and information centers.

Documentation
Introduction
About HIVE Core
About HIVE Web
Automatic Keyphrase extraction with KEA
Javadoc