collaborative intelligence analysis and search

collaborative intelligence analysis and search

118 Pages · 2013 · 2.6 MB · English

Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, translated into software built upon the Lucene™ open-source search engine. Alice's current interest profile describes her IED-focused intelligenc

collaborative intelligence analysis and search free download

Calhoun: The NPS Institutional Archive DSpace Repository Theses anG Dissertations  Thesis anG Dissertation Collection all itePs 201406 What friends are for: collaborative intelligence analysis and search Wood, Christopher J Monterey, California: Naval Postgraduate School http://hdlhandlenet/10945/42755 Downloaded from NPS Archive: Calhoun i NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS Approved for public release; distribution is unlimited WHAT FRIENDS ARE FOR: COLLABORATIVE INTELLIGENCE ANALYSIS AND SEARCH by Christopher J Wood June 2014 Thesis Co Advisor s: Nedialko B Dimitrov Moshe Kress ii THIS PAGE INTENTIONA LLY LEFT BLANK i REPORT DOCUMENTATION PAGE Form Approved OMB No 0704 0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instr uction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for redu cing this burden, to Washington headquarters Services, Directorate for Information Operations and Reports, 1215 J efferson Davis Highway, Suite 1204, Arlington, VA 22202 4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704 0188) Washington DC 20503 1 AGENCY USE ONLY (Leave blank) 2 REPORT DATE June 2014 3 REPORT TYPE AND DATES COVERED Master’s Thesis 4 TITLE AND SUBTITLE WHAT FRIENDS ARE FOR: COLLABORATIVE INTELLIGENCE ANALYSIS AND SEARCH 5 FUNDING NUMBERS 6 AUTHOR(S) Christopher J Wood 7 PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School Monterey, CA 93943 5000 8 PERFORMING ORGANIZATION REPORT NUMBER 9 SPONSORING /MONITORING AGENCY NAME(S) AND ADDRESS(ES) Director of Intelligence, United States Marine Corps 3000 Marine Corps Pentagon Washington, DC 20350 3000 10 SPONSORING/MONITORING AGENCY REPORT NUMBER 11 SUPPLEMENTARY NOTES The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the US Government IRB protocol number ____ N/A ____ 12a DISTRIBUTION / AVAILABILITY STATEMENT Approved for public release; distribution is unlimited 12b DISTRIBUTION CODE A 13 ABSTRACT (maximum 200 words ) Intelligence analysts face a glut of information and limited time to identify which information is relevant Also, they are unaware of other analysts with similar intelligence problems, preventing collaboration and often causing intelligence failure To identify relevant information, analysts use adopted commercial search engines designed for internet sized databases containing hyperlinked web pages that are not effective on intelligence databases consisting of non hyperlinked documents This thesis outlines a model to fu ndamentally increase search effectiveness and collaboration by using a social network of like minded users based on user biographies and search behavior After entering a query, the likelihood of returning a relevant document is increased by leveraging dat a from other, similar users The model goes beyond standard search engine design by presenting similar analysts for collaboration and presenting relevant documents without queries Our framework is mathematically grounded in a Markov random field informati on retrieval model and recent developments in recommender systems We build and test a prototype system on datasets from the

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