An Intelligent Concept Agent for Assisting with the Application of Metadata (INCA)

The goal of INCA (An Intelligent Concept Agent for Assisting with the Application of Metadata) is to develop an intelligent concept assistant that will allow researchers to generate and share sets of metadata elements relevant to their project and will use machine learning techniques to automatically apply this to data. The agent is based around a personalized dashboard of metadata elements that can be collected from multiple specialized portals, as well as sites such as Wikipedia. These elements can be coupled with classifiers that can be used to self-identify datasets to which they may be relevant, making the selection of appropriate vocabularies easier for researchers.

RENCI PI: Jim Balhoff. RENCI is developing an ontology design pattern software framework, to be used by developers of and contributors to key vocabularies and ontologies. In addition, RENCI is developing a tool for evaluating potential mappings across ontologies using a combination of deductive reasoning and probabilistic inference, to be used within automatic terminology integration within INCA.

• Lawrence Berkeley National Laboratory

• Lawrence Berkeley National Laboratory
• NIH National Human Genome Research Institute