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.
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- Resource Relation:
- Conference: Semantic Technology for Intelligence, Defense and Security (STIDS 2014), November 18-21, 2014, Fairfax, Virginia, 1304:93-96
- KB Laskey, I Emmons and PCG Costa; George Mason University, Fairfax, VA, United States(US).
- Research Org:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
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- Country of Publication:
- United States