SBIR/STTR Research Award

SBIR Phase I: Personal-Knowledge-Management eLearning System

Award identifier 3c6d0f0eea883a52c0740731c02469eda08889b76d165170ce91e85daac05817Awarding agency National Science Foundation

Award amount

$98,800

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Taxonomize
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research (SBIR) Phase I project will aid, support, and encourage eLearning students and instructors to find the best matches for their purposes in each other's skills, and to find the best knowledge and program resources to suit their immediate, particular needs. The software automatically extracts taxonomies from textual materials, which then allows those materials to be cross-referenced automatically. Taxonomize thus will provide extensible and low-cost eLearning support software, which is based on knowledge management (KM) capabilities, rather than attaching KM as an added feature. For example, an advanced auto-categorization engine will provide content management to help students find the best resources of tutors and workgroups to match their immediate needs. Current customers are colleges seeking economical ways to meet increasing demands for a popular international tutoring program. The research program, "PerK," will enable this expansion at costs far below current market. Ultimately the goal is to disseminate PerK capabilities into the full eLearning market, with target functionality and at lower cost than other current eLearning providers.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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