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Biological Information Processing in Single Microtubules
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In: DTIC (2014)
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| 2 |
Using Target Network Modelling to Increase Battlespace Agility
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In: DTIC (2013)
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Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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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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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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Abstract:
Automated extraction of social network-related data is one objective of the applied research project on Social Network Analysis (SNA) in a Counter-Insurgency context (SNAC) at DRDC Valcartier. Since the vast majority of the information resides in unstructured text documents, the prototype must be able to extract social network-related data directly from them. For these tasks, the prototype leverages and refines existing services provided by the Intelligence Science & Technology Integration Platform (ISTIP) at DRDC Valcartier. These services rely on ontologies to perform document annotation and to semantically characterize the data to be persisted. Given a list of a priori known instances of entities like people, organizations, and events, the system constructs the social web that ties these entities together. To do so, on a continuous basis, documents are fed via a data source crawling service that scans existing databases and returns new documents. Then, using natural language processing services, the system scans these incoming documents, extracts information about entities as well as their relations and their respective attributes, and stores this information in a graph database. The system also provides basic and semantic filtering services as well as conversion to many formats. ; 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. U.S. Government or Federal Rights License.
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Keyword:
*AUTOMATED EXTRACTION; *AUTOMATION; *COUNTERINSURGENCY; *DATA MINING; *DOCUMENTS; *EXTRACTION; *INTELLIGENCE; *ONTOLOGY; *SOCIAL NETWORK ANALYSIS; *SOCIAL NETWORK DATA ANALYSIS; *SOCIAL NETWORK DATA EXTRACTION; *UNSTRUCTURED TEXT DOCUMENTS; CANADA; Computer Programming and Software; COMPUTER PROGRAMS; COVERT NETWORKS; Cybernetics; DATA ACQUISITION; DATA BASES; DATA PROCESSING; FOREIGN REPORTS; GRAPHS; INFORMATION EXTRACTION; INTERACTIONS; INTERPERSONAL RELATIONS; Linguistics; Military Intelligence; NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; NETWORKS; PROTOTYPES; Psychology; SEMANTICS; SENSEMAKING; SYMPOSIA; TEMPLATES; TEXT BASED TEMPLATES
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA587890
http://www.dtic.mil/docs/citations/ADA587890
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| 7 |
Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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| 8 |
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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In: DTIC (2012)
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| 9 |
Conference Report: Cultural and Linguistic Advancement for Mission Success: Enhancing Language, Regional and Cultural Capabilities Across Whole of Government for an Effective COIN Strategy
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In: DTIC (2012)
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| 10 |
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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| 11 |
Trends in Human-Computer Interaction to Support Future Intelligence Analysis Capabilities
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In: DTIC (2011)
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| 12 |
An Intelligence Process Model Based on a Collaborative Approach
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In: DTIC (2011)
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| 13 |
A Smarter Common Operational Picture: The Application of Abstraction Hierarchies to Naval Command and Control
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In: DTIC (2011)
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| 14 |
Semantic Analysis of Military Relevant Texts for Intelligence Purposes
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In: DTIC (2011)
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| 15 |
Multilingual Content Extraction Extended with Background Knowledge for Military Intelligence
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In: DTIC (2011)
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Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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| 18 |
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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| 19 |
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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