Semantic enrichment of multi-intelligence data within a net-centric environment
Richard Hull, Larry Lashine, Don Jenkins · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
The challenges of predictive battlespace awareness and transformation of TCPED to TPPU processes in a netcentric environment are numerous and complex. One of these challenges is how to post the information with the right metadata so that it can be effectively discovered and used in an ad hoc manner. We have been working on the development of a semantic enrichment capability that provides concept and relationship extraction and automatic metadata tagging of multi-INT sensor data. Specifically, this process maps multi-source data to concepts and relationships specified within a semantic model (ontology). We are using semantic enrichment for development of data fusion services to support Army and Air Force programs. This paper presents an example of using the semantic enrichment architecture for concept and relationship extraction from USMTF data. The process of semantic enrichment adds semantic metadata tags to the original data enabling advanced correlation and fusion. A geospatial user interface leverages the semantically-enriched data to provide powerful search, correlation, and fusion capabilities.