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Hits 21 – 40 of 40
21
Improving DoD Energy Efficiency: Combining MMOWGLI Social-Media Brainstorming with Lexical Link Analysis (LLA) to Strengthen the Defense Acquisition Process
Zhao, Ying
;
Brutzman, Don
;
MacKinnon, Douglas J
In: DTIC (2013)
BASE
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22
Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
Zhao, Ying
;
Gallup, Shelley P
;
MacKinnon, Douglas J
In: DTIC (2013)
BASE
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23
Semantic and social networks comparison for the Haiti earthquake relief operations from APAN data sources using lexical link analysis (LLA)
Zhao, Ying
;
Gallup, Shelley P.
;
MacKinnon, Douglas J.
. - 2012
BASE
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24
Semantic and Social Networks Comparison for the Haiti Earthquake Relief Operations from APAN Data Sources using Lexical Link Analysis (LLA)
Zhao, Ying
;
Gallup, Shelley P
;
MacKinnon, Douglas J
In: DTIC (2012)
BASE
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25
Applications of Lexical Link Analysis Web Service for Large-Scale Automation, Validation, Discovery, Visualization, and Real-Time Program Awareness
Zhao, Ying
;
Gallup, Shelley P
;
MacKinnon, Douglas J
In: DTIC (2012)
BASE
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26
Applications of Lexical Link Analysis Web Service for Large-Scale Automation, Validation, Discovery, Visualization, and Real-Time Program-Awareness
Zhao, Ying
;
Gallup, Shelley
;
MacKinnon, Douglas
In: DTIC (2012)
BASE
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27
Social network collaboration for crisis response operations developing a Situational Awareness (SA) tool to improve Haiti's interagency relief efforts
Reid, Elaine D.
. - : Monterey, California. Naval Postgraduate School, 2011
BASE
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28
Social network collaboration for crisis response operations developing a Situational Awareness (SA) tool to improve Haiti's interagency relief efforts
Tovar, Daniel R.
. - : Monterey, California. Naval Postgraduate School, 2011
BASE
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29
System Self-Awareness and Related Methods for Improving the Use and Understanding of Data within DoD
Zhao, Ying
;
Mackinnon, Douglas J.
;
Gallup, Shelley P.
. - 2011
BASE
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30
Lexical Link Analysis for the Haiti earthquake Relief Operation Using Open Data Sources
Zhao, Ying
;
Gallup, Shelley P.
;
MacKinnon, Douglas J.
. - 2011
BASE
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31
Lexical Link Analysis for the Haiti Earthquake Relief Operation Using Open Data Sources
Zhao, Ying
;
Gallup, Shelley P.
;
MacKinnon, Douglas J.
In: DTIC (2011)
BASE
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32
Image processing based recognition of images with a limited number of pixels using simulated prosthetic vision
Zhao, Ying
;
Lu, Yanyu
;
Tian, Yukun
...
In:
Information sciences. - New York, NY : Elsevier Science Inc.
180 (2010) 16, 2915-2924
OLC Linguistik
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33
Communication Strategy Use and Negotiation of Meaning in Text Chat and Videoconferencing
Zhao, Ying
In: ETD Archive (2010)
BASE
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34
Matching Navy Recruiting Needs with Social Network Profiles Using Lexical Link Analysis, Presentation
Zhao, Ying
;
MacKinnon, Douglas J.
;
Gallup, Shelley P.
. - 2010
BASE
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35
Towards Real-time Program Awareness via Lexical Link Analysis '
Zhao, Ying
;
Gallup, Shelley
;
MacKinnon, Doug
. - : Monterey, California. Naval Postgraduate School, 2010
BASE
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36
Matching Navy Recruiting Needs with Social Network Profiles Using Lexical Link Analysis. N1 FY10 Research Project
Zhao, Ying
;
MacKinnon, Douglas J.
;
Gallup, Shelley P.
In: DTIC (2010)
BASE
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37
Maritime Domain Awareness via Agent Learning and Collaboration
Zhao, Ying
;
MacKinnon, Douglas J.
;
Gallup, Shelly P.
...
In: DTIC (2010)
BASE
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38
Towards Real-time Program Awareness via Lexical Link Analysis
Zhao, Ying
;
Gallup, Shelley
;
MacKinnon, Doug
In: DTIC (2010)
BASE
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39
Semantical Machine Understanding
Zhao, Ying
;
Kotak, Chetan
;
Zhou, Charles C.
In: DTIC (2008)
Abstract:
Semantical Machine Understanding is the foundation for automatic sense and decision making of multinational, multicultural, and coalition applications. We show an innovative semantical machine understanding system that can be installed on each node of a network and used as a semantic search engine. Innovations of such a system include 1" text mining: extract concepts and meaning clusters based on contexts using pattern recognition and machine learning; 2" meaning learning: extract knowledge patterns that link human labeled meaning to raw data. The knowledge patterns can be applied to predict future data; and 3" collaborative meaning search: incorporate humans and machines to form a collaborative network to search and enhance the meaning iteratively. In this paper, we also show the feasibility of using a semantic search architecture and discuss the two ways it is drastically different from current search engines: 1" indexes embedded in agents are distributed and customized to the learning and knowledge patterns of their own environment and culture. This allows data providers to maintain their own data in their own environment, but still share indexes across peers; 2" Semantic machine understanding enables discovery of new information rather than popular information. ; Presented at the International Command and Control Research and Technology Symposia (13th), ICCRTS 2008, Seattle, WA on 17-19 Jun 2008. The original document contains color images.
Keyword:
*CROSS CULTURE(SOCIOLOGY)
;
*INFORMATION RETRIEVAL
;
*LEARNING MACHINES
;
*TEXT PROCESSING
;
BRIEFING CHARTS
;
COLLABORATIVE MEANING SEARCHS
;
Computer Programming and Software
;
CULTURAL AWARENESS
;
Cybernetics
;
FREE TEXT OPEN VOCABULARY SENTENCES
;
Information Science
;
Linguistics
;
P2P(PEER-TO-PEER) TECHNOLOGIES
;
PATTERN RECOGNITION
;
SBIR TOPIC N06-153 PHASE 1
;
SBIR(SMALL BUSINESS INNOVATION RESEARCH)
;
SCENARIOS
;
SEARCH ENGINES
;
SEMANTIC SEARCH ARCHITECTURE
;
SEMANTICAL MACHINE UNDERSTANDING
;
SEMANTICS
;
SENTIMENT CLASSIFICATION
;
SIMULATION
;
STATE PREDICTIONS
;
SYMPOSIA
;
TEXT MINING
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA486897
http://www.dtic.mil/docs/citations/ADA486897
BASE
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40
Is N-Best Dead?
Nguyen, Long
;
Schwartz, Richard
;
Zhao, Ying
...
In: DTIC (1994)
BASE
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