Overview
Let's use this space to share your experiences on developing an expertise locator. Tell us your story. All stories and ideas are welcome -- success, failures, and more such as what are the key requirements an experts system must include.
Click the Discussion Tab above to contribute to the conversation.
Case Studies
NASA has created an expertise locator that does not require people to maintain profiles. The work of Andy Schain, Kendall Clark, and Mike Grove, POPS (people, organizations, projects, and skills) allows NASA employees to find experts based on those things that define expertise, rather than only a self-asserted competency. It builds on a technological bed of semantic technologies (including Jspace, RDF, and OWL) and algorithms for weighting the importance of different aspects of a person's history. It reaches to NASA's publication database, workforce system, competency management, and organizational information to infer expertise from the work that is occuring and the outputs of the work. It is sponsored by the NASA Office of the Chief Engineer. You can follow up with
Jeanne Holm or see more on POPS at:
http://www.w3.org/2001/sw/sweo/public/UseCases/Nasa/
(If you have difficulty accessing the above link, click the Discussion tab for this Wiki page and you'll find a link to a PDF of the Case Study.)
Demos of the NASA and DATA.GOV use cases can also be found at
http://clarkparsia.com/pelorus