Automatic Concept Maps :asA and :inA Dynamic Wiki

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,997.00
Award Year:
2014
Program:
SBIR
Phase:
Phase I
Contract:
N00014-14-P-1082
Award Id:
n/a
Agency Tracking Number:
N132-128-1243
Solicitation Year:
2013
Solicitation Topic Code:
N132-128
Solicitation Number:
2013.2
Small Business Information
1422 Sachem Pl., Unit #1, Charlottesville, VA, 22901
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
809180151
Principal Investigator:
Kevin Corby
Software Architect
(434) 284-9406
kevin@ccri.com
Business Contact:
James Conklin
Director of Operations
(434) 214-4415
conklin@ccri.com
Research Institute:
n/a
Abstract
Representing knowledge in a triple store is trivial, yet querying and visualizing the resulting knowledge is difficult and inefficient when the number of triples is large. Needing to understand the data models from each of the contributing processes and how these data models overlap or interact further complicates this problem. Visualization tools for knowledge stored in the Resource Description Framework (RDF) tend to simply enable visualization of the data via a graph. While this does show the available data in a relatively intuitive manner, it simply does not scale. We will automatically identify intelligible, useful concepts that show how entities relate and expose undeclared relationships in the knowledge base. We will develop tools and techniques for concept generation to augment class/concept structures available from ontologies describing the knowledge store. We address the main problem in two steps: (1) feature selection, (2) analytics and visualization. This proposal describes our proposed methodology for extracting features of entities described in an RDF knowledge base, and the application of these features to automatic concept map generation. We propose to develop a scalable manifold learning algorithm for concept extraction that will also enable a broader application of machine learning algorithms to RDF data at scale.

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government