Changes
→HIVE: a new tool for working with vocabularies
* Jose Aguera, Universitty of North Carolina, jose.aguera@gmail.com
HIVE is a toolkit that assists users in selecting vocabulary and ontology terms to annotate digital content. The HIVE approach promises to combine combines the ease of folksonomies with the rigor of traditional vocabularies. By combining semantic web standards with text mining techniques, HIVE will improve the effectiveness of subject metadata generation.
Users can search and browse through terms from a variety of vocabularies and ontologies in one integrated tool. Documents can be submitted to HIVE for automatic analysis, resulting in a set of suggested vocabulary terms.
Your system can interact with common vocabularies such as LCSH and MESH via the central HIVE server, or you can install a local copy of HIVE with your own custom set of vocabularies. This talk will give an overview of the current features of HIVE and describe how to build tools that use the HIVE services.
