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Controlled English for Effective Communication during Coalition Operations
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In: DTIC (2013)
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| 2 |
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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| 4 |
Using Target Network Modelling to Increase Battlespace Agility
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In: DTIC (2013)
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| 5 |
Visualization of Decision Processes Using a Cognitive Architecture
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In: DTIC (2013)
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| 6 |
Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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| 7 |
An Approach Using MIP Products for the Development of the Coalition Battle Management Language Standard
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In: DTIC (2013)
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| 10 |
Automated Extraction and Characterisation of Social Network Data from Unstructured Sources -- An Ontology-Based Approach
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In: DTIC (2013)
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| 11 |
Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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| 12 |
Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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Abstract:
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. ; Presented at the 18th International Command and Control Research and Technology Symposium (ICCRTS) C2 in Underdeveloped, Degraded and Denied Operational Environments held in Alexandria, VA, on 19-21 June 2013.
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Keyword:
*DATA REDUCTION; *DEGRADED ENVIRONMENTS; *EXTRACTION; *INFORMATION RETRIEVAL; *INTEROPERABILITY; *MIDDLEWARE; *SEMANTIC TECHNOLOGIES; *SEMANTICS; *STANDARDS; BANDWIDTH; COMPUTATIONAL LINGUISTICS; Computer Programming and Software; D2I(DATA TO INFORMATION); DATA REFERENCING; DATA REUSE; DATA STORAGE SYSTEMS; DEPARTMENT OF DEFENSE; FORMAT RECOGNITION TECHNOLOGIES; INFORMATION EXTRACTION; INFORMATION MANAGEMENT; INFORMATION MODELING; Information Science; Linguistics; LINKAGES; MISSION-BASED FILTERS; ONTOLOGY; OPTIMIZATION; PHOENIX AIR; QOS(QUALITY OF SERVICE); REASONING; ROLE-BASED FILTERS; SEMANTIC DATA EXTRACTION; SEMANTIC REASONING; SEMANTIC SCHEMA MAPPING; SERVICE-ORIENTED ARCHITECTURE; SYMPOSIA
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URL: http://www.dtic.mil/docs/citations/ADA588222
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA588222
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| 13 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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