Making Semantic Information Work Effectively for Degraded Environments
AIR FORCE RESEARCH LAB ROME NY INFORMATION DIRECTORATE
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The challenges of effectively managing semantic technologies over disadvantaged or degraded environments are numerous and complex. One of the greatest challenges is the size of raw data. Large messages prevent semantics from being operationally effective by overflowing the available bandwidth and memory resources of degraded environments. Our approach mitigates this challenge by performing data reduction through the adoption of format recognition technologies, semantic data extractions, and the application of mission-based and role-based filters. The other challenge is that semantics are not especially effective in degraded environments due to a lack of interoperability with standardized DoD messaging formats and resource limitations for processing, storage, reasoning, and bandwidth. Our approach increases the utility of semantics by extracting attributes that correlate with DoD messaging standards and collaborate with mission-based domain ontologies, as well as to relocate the intensive processing, storage, bandwidth, and semantic extraction applications to enterprise services. This enables semantics to be utilized effectively, regardless of environment, while simultaneously informing quality of service and role-based policy decisions.
- Information Science
- Computer Programming and Software