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Enabling Efficient Intelligence Analysis in Degraded Environments
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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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Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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TIACRITIS System and Textbook: Learning Intelligence Analysis through Practice
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In: DTIC (2010)
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A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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Metacognitive Awareness versus Linguistic Politeness: Expressions of Confusion in Tutorial Dialogues
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In: DTIC (2009)
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Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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A Journey in Entity Related Retrieval for TREC 2009
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In: DTIC (2009)
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11 |
Lucene for n-grams using the ClueWeb Collection
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In: DTIC (2009)
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BIT at TREC 2009 Faceted Blog Distillation Task
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In: DTIC (2009)
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IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
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In: DTIC (2009)
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Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
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In: DTIC (2009)
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POSTECH at TREC 2009 Blog Track: Top Stories Identification
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In: DTIC (2009)
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16 |
Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
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In: DTIC (2009)
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17 |
Related Entity Finding Based on Co-Occurrence
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In: DTIC (2009)
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18 |
Result Diversity and Entity Ranking Experiments: Anchors, Links, Text and Wikipedia
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In: DTIC (2009)
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PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
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In: DTIC (2009)
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A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track
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In: DTIC (2009)
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