A Framework for the Systematic Collection of Open Source Intelligence

Pouchard, Line Catherine; Trien, Joseph P; Dobson, Jonathan D

Title: A Framework for the Systematic Collection of Open Source Intelligence

Full Record
Other Related Research

Abstract

Following legislative directions, the Intelligence Community has been mandated to make greater use of Open Source Intelligence (OSINT). Efforts are underway to increase the use of OSINT but there are many obstacles. One of these obstacles is the lack of tools helping to manage the volume of available data and ascertain its credibility. We propose a unique system for selecting, collecting and storing Open Source data from the Web and the Open Source Center. Some data management tasks are automated, document source is retained, and metadata containing geographical coordinates are added to the documents. Analysts are thus empowered to search, view, store, and analyze Web data within a single tool. We present ORCAT I and ORCAT II, two implementations of the system.

Authors:

Pouchard, Line Catherine ^[1]; Trien, Joseph P ^[1]; Dobson, Jonathan D ^[1]

ORNL

Publication Date:: Thu Jan 01 00:00:00 EST 2009

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: Work for Others (WFO)

OSTI Identifier:: 958948

DOE Contract Number:: DE-AC05-00OR22725

Resource Type:: Conference

Resource Relation:: Conference: AAAI Spring Symposium on Technosocial Predictive Analytics, Stanford, CA, USA, 20090323, 20090325

Country of Publication:: United States

Language:: English

Subject:: 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; INFORMATION RETRIEVAL; AUTOMATION; DATA BASE MANAGEMENT; O CODES; INTERNET; OSINT; ORCAT; Open Source Intelligence; collection

Citation Formats


                    Pouchard, Line Catherine, Trien, Joseph P, and Dobson, Jonathan D. A Framework for the Systematic Collection of Open Source Intelligence.  United States: N. p., 2009. 
        Web.

Copy to clipboard


                    Pouchard, Line Catherine, Trien, Joseph P, & Dobson, Jonathan D. A Framework for the Systematic Collection of Open Source Intelligence.  United States.

Copy to clipboard


                    Pouchard, Line Catherine, Trien, Joseph P, and Dobson, Jonathan D. 2009.  
        "A Framework for the Systematic Collection of Open Source Intelligence".  United States.

Copy to clipboard


                    
@article{osti_958948,

  title        = {A Framework for the Systematic Collection of Open Source Intelligence},

  author       = {Pouchard, Line Catherine and Trien, Joseph P and Dobson, Jonathan D},

  abstractNote = {Following legislative directions, the Intelligence Community has been mandated to make greater use of Open Source Intelligence (OSINT). Efforts are underway to increase the use of OSINT but there are many obstacles. One of these obstacles is the lack of tools helping to manage the volume of available data and ascertain its credibility. We propose a unique system for selecting, collecting and storing Open Source data from the Web and the Open Source Center. Some data management tasks are automated, document source is retained, and metadata containing geographical coordinates are added to the documents. Analysts are thus empowered to search, view, store, and analyze Web data within a single tool. We present ORCAT I and ORCAT II, two implementations of the system.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/958948},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Jan 01 00:00:00 EST 2009},

  month        = {Thu Jan 01 00:00:00 EST 2009}

}

Copy to clipboard

Conference:

Other availability

Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

NBIC Biofeeds: A Digital Tool for Open Source Biosurveillance across Federal Agencies

Journal Article Baker, Heather; Lesniak, Chandra; Iarocci, Emily; ... - Online Journal of Public Health Informatics

The National Biosurveillance Integration Center (NBIC) is developing a scalable, flexible open source data collection, analysis, and dissemination tool to support biosurveillance operations by the U.S. Department of Homeland Security (DHS) and its federal interagency partners. The NBIC integrates, analyzes, and distributes key information about health and disease events to help ensure the nation’s responses are well-informed, save lives, and minimize economic impact. NBIC serves as a bridge between Federal, State, Local, Territorial, and Tribal entities to conduct biosurveillance across human, animal, plant, and environmental domains. The integration of information enables early warning and shared situational awareness of biological eventsmore »« less
https://doi.org/10.5210/ojphi.v9i1.7642

Full Text Available
NBIC Biofeeds: Deploying a New, Digital Tool for Open Source Biosurveillance across Federal Agencies

Journal Article Baker, Heather; Grady, Asher; Schwantes, Collin; ... - Online Journal of Public Health Informatics

The National Biosurveillance Integration Center (NBIC) is deploying a scalable, flexible open source data collection, analysis, and dissemination tool to support biosurveillance operations by the U.S. Department of Homeland Security (DHS) and its federal interagency partners.IntroductionNBIC integrates, analyzes, and distributes key information about health and disease events to help ensure the nation’s responses are well-informed, save lives, and minimize economic impact. To meet its mission objectives, NBIC utilizes a variety of data sets, including open source information, to provide comprehensive coverage of biological events occurring across the globe. NBIC Biofeeds is a digital tool designed to improve the efficiency ofmore »« less
https://doi.org/10.5210/ojphi.v10i1.8947

Full Text Available
Using GTO-Velo to Facilitate Communication and Sharing of Simulation Results in Support of the Geothermal Technologies Office Code Comparison Study

Conference White, Signe; Purohit, Sumit; Boyd, Lauren

The Geothermal Technologies Office Code Comparison Study (GTO-CCS) aims to support the DOE Geothermal Technologies Office in organizing and executing a model comparison activity. This project is directed at testing, diagnosing differences, and demonstrating modeling capabilities of a worldwide collection of numerical simulators for evaluating geothermal technologies. Teams of researchers are collaborating in this code comparison effort, and it is important to be able to share results in a forum where technical discussions can easily take place without requiring teams to travel to a common location. Pacific Northwest National Laboratory has developed an open-source, flexible framework called Velo that providesmore »« less
Identification of threats using linguistics-based knowledge extraction.

Technical Report Chew, Peter

One of the challenges increasingly facing intelligence analysts, along with professionals in many other fields, is the vast amount of data which needs to be reviewed and converted into meaningful information, and ultimately into rational, wise decisions by policy makers. The advent of the world wide web (WWW) has magnified this challenge. A key hypothesis which has guided us is that threats come from ideas (or ideology), and ideas are almost always put into writing before the threats materialize. While in the past the 'writing' might have taken the form of pamphlets or books, today's medium of choice is themore »« less
https://doi.org/10.2172/940522

Full Text Available
Omics Metadata Management Software v. 1 (OMMS)

Software

Our application, the Omics Metadata Management Software (OMMS), answers both needs, empowering experimentalists to generate intuitive, consistent metadata, and to perform bioinformatics analyses and information management tasks via a simple and intuitive web-based interface. Several use cases with short-read sequence datasets are provided to showcase the full functionality of the OMMS, from metadata curation tasks, to bioinformatics analyses and results management and downloading. The OMMS can be implemented as a stand alone-package for individual laboratories, or can be configured for web-based deployment supporting geographically dispersed research teams. Our software was developed with open-source bundles, is flexible, extensible and easily installedmore »« less
View Software

Similar Records