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Data Science for Joint Doctrine Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community Data Science Data Science for Joint.

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Presentation on theme: "Data Science for Joint Doctrine Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community Data Science Data Science for Joint."— Presentation transcript:

1 Data Science for Joint Doctrine Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community Data Science Data Science for Joint Doctrine September 16-17, 2015 1

2 Overview August 31 st Federal Big Data Working Group Meetup: Yosemite Project for Healthcare Information Interoperability & New Ontology Book September 16-17 th Information Meeting on Joint Doctrine Ontology Invitation Data Mine the Joint Electronic Library Data Science for Joint Doctrine: Knowledge Base Spreadsheet Index Spotfire Visualizations 2

3 3 http://www.meetup.com/Federal-Big-Data-Working-Group/events/224437815/

4 Building Ontologies with Basic Formal Ontology How to build an ontology import BFO into ontology editor such as Protégé work with domain experts to create an initial midlevel classification find ~50 most commonly used terms corresponding to types in reality arrange these terms into an informal is_a hierarchy according to this universality principle A is_a B every instance of A is an instance of B fill in missing terms to give a complete hierarchy (leave it to domain experts to populate the lower levels of the hierarchy) BFO A simple, small top-level ontology to support information integration in scientific research Thoroughly tested in over 150 ontology development projects Large cadre of ontology development experts trained to use it No abstracta (numbers, propositions, …) No overlap with domain ontologies 4 Barry Smith, Federal Big Data Working Group, August 31, 2015

5 5 http://ncorwiki.buffalo.edu/index.php/Information_Meeting_on_Joint_Doctrine_Ontology

6 6 http://www.dtic.mil/doctrine/new_pubs/jointpub.htm

7 Data Mining - Science - Questions - Publication Process Data Mining Process: Business Understanding Data Understanding Data Preparation Modeling Evaluation Deployment Data Science Process: Data Preparation Data Ecosystem Data Story Data Science Questions: How was the data collected? Where is the data stored? What are the data results? and Why should we believe the data results? Data Science Data Publication: Knowledge Base Spreadsheet Index Web & PDF Tables to Spreadsheet Data Browser Dynamically Linked Adjacent Visualizations 7

8 8 Semantic Community Data Science Data Science for Joint Doctrine

9 9 DoDJointDoctrineKnowledgeBase.xlsx

10 10 Web Player

11 11 Web Player

12 Conclusions and Recommendations Barry Smith has brought science to ontology with his new book: Building Ontologies with Basic Formal Ontology, just like science has come to data in Data Science. The Federal Big Data Working Group Meetup follows a Data Mining - Science - Questions - Publication Process which is being used on the Joint Doctrine Publications to support the Information Meeting on Joint Doctrine Ontology. Ultimately, the nearly 70 Joint Doctrine PDF files could be converted to Word and imported into MindTouch to create a Semantic Knowledge Base and Spreadsheet Index that could be visualized in Spotfire. 12


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