nato viz-n/x custom ontologies for expanded social network analysis amy k. c. s. vanderbilt, ph.d....
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NATO VIZ-N/X
Custom Ontologies for Expanded Social Network Analysis
Amy K. C. S. Vanderbilt, Ph.D. and J. Andrew Skene
4465 Brookfield Corporate Drive, Suite 200A, Chantilly VA 20151, USA
NATO VIZ-N/X
MissionRapidly implement emerging ISR capabilities and
advanced CONOPs and TTPs to mitigate mission critical intelligence shortfalls. Manage the insertion, integration,
operationalization, and sustainment of advanced ISR sensors and systems at the operational and tactical levels for support to intelligence requirements at all echelons.
Intelligence TacticalStrategic
Intrusive ISR
NATO VIZ-N/X
The Urban Warfare Analysis Center
(UWAC) Mission Statement
• Provide a center of expertise for effects based operations in support of urban operations, doctrine, and training
• Develop actionable products relevant to the urban battlespace in support of strategic operational, and tactical objectives
• Leverage urban warfare products and analyses to support homeland defense requirements
NATO VIZ-N/X
Concept of Operations• Real-time information analysis and modeling support provided to
production centers, support organizations, Unified Commands, and deployed forces
• UWAC operations supported by• Massive data storage and access capabilities• Evolving modeling and simulation tools• High capacity network communications between key locations• Sensor testing and training facility
• IC center of expertise for support to operations planning and training
• Experienced intel analysts augmented with operational community representatives to support development of intel-enabled operations
NATO VIZ-N/X
Current Approaches• Take all available info and populate a pre-structured ontology which is
grown over time – constantly adding new relations, nodes and entities.
• The problem:
1. ontology is so large that it takes as long to query the ontology as it would the entire set of original documents and resources.
2. The info within the ontology is too diverse - only a small portion of it is pertinent
3. updating the ontology requires engineering modifications and additions
4. Without humans modifying the ever-growing ontology, it becomes obsolete
5. Engineers grow the ontology differently. This leads to mismatch between how the user would describe what he is looking for and how the ontology is housing that information.
6. The user becomes disgruntled with user-hostile environment
NATO VIZ-N/X
Another Option: Custom User Ontology• Maintain servers housing the original documents from available databases
•Update these holdings periodically to maintain up-to-date information
• Users interface with the system by entering a query
•About a location, entity, event, Etc?
• The query is used to create an ontology to house information satisfying that particular query
•The original resources are queried to populate the ontology
•Information extracted from the resources is pedigreed to the source document
•The ontology includes images, video, text, audio, etc if relevant and relationships as applicable to the information and query.
NATO VIZ-N/X
Another Option: Custom User Ontology
• Visualizations aid the user in exploring the resulting populated ontology
•Users can direct exploration to increasing detail
•Users can go as far as pulling the pertinent specific resources, if desired.
• If space permits, the resulting ontology can be stored in a users “account” for later reference as the user’s own computer may not have the storage capacity.
• We could also offer the ontology for download to a free “reader” program that would display it and allow exploration at a later date..
NATO VIZ-N/X
CALL JUOO Jane’s
Facial Recog.
Audio
Sensor Data
PoliticalWFB
Databases From Trusted Sources
Analyst Interface to UWAC Resources
User Interface to UWAC Analysts
Deployed and CONUS users need information in an understandable and actionable format
Information Engine
Matching Engine
UWAC Content Server
UWAC File
Server
Sort, Pedigree, Tag and Name
Site Comber
UWAC Storage and Conversion Servers
Modeling and Simulation Effort
NATO VIZ-N/X
CONOPS Graphic
UWAC Storage and Retrieval
Facility
UWAC Storage and Retrieval
Facility
Sorting, Pedigree, Tagging and Naming
Import FilterSorting, Pedigree, Tagging and
Naming
Import Filter
CALL JUOO Jane’s
Facial Recog.
Audio
Sensor Data
PoliticalWFB
Databases From Trusted Sources
CALLCALL JUOOJUOO Jane’sJane’s
Facial Recog.Facial Recog.
AudioAudio
Sensor DataSensor Data
PoliticalPoliticalWFBWFB
Databases From Trusted Sources
Analysts Interface to UWAC ResourcesAnalysts Interface to UWAC Resources
Users Interface to UWAC AnalystsUsers Interface to UWAC Analysts
Deployed and CONUS users need information in an understandable and actionable format
Deployed and CONUS users need information in an understandable and actionable format
Information Engine
Matching Engine
Information EngineInformation Engine
Matching EngineMatching Engine
NATO VIZ-N/X
NATO VIS-NX Paper Vanderbilt-
Skene.doc