IN43C:
Knowledge Representation Frameworks: The Foundation for Achieving Interoperability Posters

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Session ID#: 13353

Session Description:
For diverse scientific disciplines to interoperate they must be able to exchange information based on a shared understanding. This shared understanding is typically captured in a knowledge representation framework comprised of standards, methodologies, and tools for the purpose of creating a sharable and formal set of information requirements. In practice, this involves diverse and time-consuming activities including the adoption of standard reference models, the development of information models, ontologies, or controlled vocabularies, knowledge acquisition, metadata and change management, and the establishment of governance. Finally, the resulting knowledge base must positively impact the domain for which is was designed. Topics of interest for this session are lessons learned in all aspects of developing and using knowledge representation frameworks especially those that promote aspects of agile development, including adaptive planning, evolutionary development, early and iterative delivery, continuous improvement, and rapid and flexible response to change.
Primary Convener:  John S Hughes, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Conveners:  Daniel J Crichton, Emily Law and Thomas Huang, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Chairs:  Daniel J Crichton, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and John S Hughes, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
OSPA Liaison:  John S Hughes, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Index Terms:

Abstracts Submitted to this Session:

Peter Arthur Fox, Rensselaer Polytechnic Institute, Troy, NY, United States, Paolo Diviacco, National Institute of Oceanography and Applied Geophysics (OGS), Trieste, Italy and Alessandro Busato, National Institute of Oceanography and Applied Geophysics OGS, Trieste, Italy
Ashish Mahabal1, Daniel Crichton2, S. George Djorgovski1, Ciro Donalek1, Andrew Drake1, Matthew Graham1 and Emily Law2, (1)California Institute of Technology, Pasadena, CA, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Krzysztof Janowicz, University of California Santa Barbara, Santa Barbara, CA, United States, Carlos A Rueda-Velasquez, Monterey Bay Aquarium Research Institute, Watsonville, CA, United States and Janet Fredericks, Woods Hole Oceanographic Institution, Falmouth, MA, United States
Philip Kershaw1, Victoria L Bennett2, Ag Stephens3, Antony Wilson4, Alison M Waterfall2, Ruth Petrie5, Alan Iwi5, Steve Donegan2, Martin N Juckes5 and Graham Parton6, (1)NCEO / Centre for Environmental Data Analysis, STFC, Rutherford Appleton Laboratory, Didcot, United Kingdom, (2)NCEO / Centre for Environmental Data Analysis, STFC, RAL Space, Didcot, United Kingdom, (3)NCAS / Centre for Environmental Data Analysis, STFC, Rutherford Appleton Laboratory, Didcot, United Kingdom, (4)STFC Rutherford Appleton Laboratory, Scientific Computing Department, Didcot, United Kingdom, (5)NCAS / Centre for Environmental Data Analysis, STFC, RAL Space, Didcot, United Kingdom, (6)NCAS / STFC, Centre for Environmental Data Analysis (CEDA), Harwell, United Kingdom
Anupriya Goyal, Himanshu Tyagi, Ashvani Kumar Gosain and Rakesh Khosa, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India
Tyler Stevens, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Dana Shum1, Mark Reese2, Daniel Pilone2 and Andrew E Mitchell3, (1)Raytheon Company Riverdale, Riverdale, MD, United States, (2)Element 84, Inc., Alexandria, VA, United States, (3)NASA Headquarters, Greenbelt, United States