skip to main content

Title: Towards A Topological Framework for Integrating Semantic Information Sources

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.
Authors:
; ;
Publication Date:
OSTI Identifier:
1222144
Report Number(s):
PNNL-SA-105411
400403809
DOE Contract Number:
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: Semantic Technology for Intelligence, Defense and Security (STIDS 2014), November 18-21, 2014, Fairfax, Virginia, 1304:93-96
Publisher:
KB Laskey, I Emmons and PCG Costa; George Mason University, Fairfax, VA, United States(US).
Research Org:
Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English