In this position paper we argue for the role that topological modeling principles can play in providing a framework for sensor integration. While used successfully in standard (quantitative) sensors, we are developing this methodology in new directions to make it appropriate specifically for semantic information sources, including keyterms, ontology terms, and other general Boolean, categorical, ordinal, and partially-ordered data types. We illustrate the basics of the methodology in an extended use case/example, and discuss path forward.
Revised: September 28, 2015 |
Published: September 7, 2014
Citation
Joslyn C.A., E.A. Hogan, and M. Robinson. 2014.Towards A Topological Framework for Integrating Semantic Information Sources. In Semantic Technology for Intelligence, Defense and Security (STIDS 2014), November 18-21, 2014, Fairfax, Virginia, edited by KB Laskey, I Emmons and PCG Costa, 1304, 93-96. Fairfax, Virginia:George Mason University.PNNL-SA-105411.