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IMMERSE: Interactive Mentoring for Multimodal Experiences in Realistic Social Encounters
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In: DTIC (2015)
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| 3 |
Installing the ARL Phrase Book Android Application and Configuring its Dependencies
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In: DTIC (2015)
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Document Image Parsing and Understanding using Neuromorphic Architecture
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In: DTIC (2015)
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| 5 |
Mobile Active Authentication via Linguistic Modalities
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In: DTIC (2015)
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| 6 |
Methods for Evaluating Text Extraction Toolkits: An Exploratory Investigation
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In: DTIC (2015)
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| 7 |
Learning to Understand Natural Language with Less Human Effort
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In: DTIC (2015)
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| 8 |
Opportunities for Next Generation BML: Semantic C-BML
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In: DTIC (2014)
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| 9 |
Impact of Machine-Translated Text on Entity and Relationship Extraction
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In: DTIC (2014)
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| 10 |
Arabic Natural Language Processing System Code Library
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In: DTIC (2014)
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| 11 |
SEI Innovation Center Report: Cyber Intelligence Tradecraft Project: Summary of Key Findings
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In: DTIC (2013)
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| 12 |
Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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| 13 |
Adding Statistical Machine Translation Adaptation to Computer-Assisted Translation
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In: DTIC (2013)
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| 14 |
KEYNOTE 2 : Rebuilding the Tower of Babel - Better Communication with Standards
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In: DTIC (2013)
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| 15 |
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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| 16 |
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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| 18 |
A Domain Independent Framework for Extracting Linked Semantic Data from Tables
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In: DTIC (2012)
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| 19 |
Overcoming Vocabulary Limitations in Twitter Microblogs
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In: DTIC (2012)
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A Framework for Modeling and Simulation of the Artificial
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In: DTIC (2012)
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