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Ontology Summit 2012: Session-05, Thursday 2012-02-09     (1)

Summit Theme: OntologySummit2012: "Ontology for Big Systems"     (1A)

Track 3 Title: Meeting Big Data Challenges through Ontology     (1B)

Session Topic: I - Big Data domain experts and ontologists; II - Big Data that would benefit from ontological technology     (1C)

Session Chairs: Mr. ErnieLucier (NCO/NITRD) and Ms. MaryBrady (NIST) - intro-slides     (1D)

Opening Remarks by - Dr. GeorgeStrawn (Director, NCO_NITRD)     (1E)

Panelists:     (1F)

  • Dial-in:     (1K7D)
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  • Discussions and Q & A:     (1K7G)
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  • Please note that this session may be recorded, and if so, the audio archive is expected to be made available as open content, along with the proceedings of the call to our community membership and the public at-large under our prevailing open IPR policy.     (1K7K)

Attendees     (1L)


I - Big Data domain experts and ontologists     (1M1)

II - Big Data that would benefit from ontological technology     (1M2)

This is our 7th Ontology Summit, a joint initiative by NIST, Ontolog, NCOR, NCBO, IAOA & NCO_NITRD with the support of our co-sponsors. The theme adopted for this Ontology Summit is "Ontology for Big Systems." The event today is our 5th virtual session.     (1M3)

The principal goal of the summit is to bring together and foster collaboration among the ontology community, systems community, and stakeholders of some of "big systems." Together, the summit participants will exchange ideas on how ontological analysis and ontology engineering might make a difference, when applied in these "big systems.�� We will aim towards producing a series of recommendations describing how ontologies can create an impact; as well as providing illustrations where these techniques have been, or could be, applied in domains such as bioinformatics, electronic health records, intelligence, the smart electrical grid, manufacturing and supply chains, earth and environmental, e-science, cyberphysical systems and e-government. As is traditional with the Ontology Summit series, the results will be captured in the form of a communiqu��, with expanded supporting material provided on the web.     (1M4)

Meeting Big Data Challenges through Ontology     (1M5)

The mission of this track is to identify appropriate objectives for an "Ontology and Big Data" challenge, prepare problem statements, identify the organizations and people to be advocates, and identify the resources necessary to complete a challenge. The goal will be to select a challenge showing benefits of ontology to big data.     (1M6)

One of the NCO��s goals is to enhance collaboration and accelerate agencies�� adoption of advanced IT capabilities. NITRD seeks to accelerate deployment of promising research technologies; share protocol information, standards, and best practices; and coordinate and disseminate technology assessment and testbed results. NITRD coordinates federally supported IT research under the leadership of OSTP. Ontologies and the semantic web support Open Government Directive.     (1M7)

The goal of "Meeting Big Data Challenges through Ontology" Track 3 is to identify issues that can be addressed using an ontology challenge. Challenges can take many forms and target many issues.     (1M8)

Potential issues to be addressed by challenges:     (1M9)

  • Enhance collaboration and accelerate agencies�� adoption     (1M10)
  • Accelerate the adoption of ontological methods, maximize public awareness, and impact of research.     (1M11)
  • Increase the number of agencies using ontologies, i.e., earlier adoption     (1M12)
  • Where should our focus be to accelerate agencies�� adoption of ontology capabilities?     (1M13)
  • How many scientists, physicists, engineers, programmers, big data administrators, etc. have experience with ontologies?     (1M14)
  • Is the growth of ontological implementations and technologies with Big Data constrained by the shortage of qualified personnel?     (1M15)
  • Inform, educate, and include the public in scientific research and discovery. Public involvement could be a critical component of our success     (1M16)
  • A mismatch between those with data and those with the skills to analyze the data     (1M17)
  • Are programmers able to optimize the use of unstructured or semi-structured data sets for scientists and engineers?     (1M18)
  • What are the talent and skill set issues impacting the use of ontologies?     (1M19)
  • The skills important to the growth of ontological technologies with Big Data include a combined understanding of a scientific or engineering discipline and knowledge of ontology-based technologies.     (1M20)
  • Programmers are not able to optimize the use of unstructured data for scientists and engineers     (1M21)
  • Scientists and engineers without ontology training may use brute force programming �� this can be inefficient and the scientists and engineers without training may not be aware of options and capabilities using ontology-based technologies     (1M22)
  • Strategic significance to the economy, e.g. enabling competitive products.     (1M23)
  • How long does it take to become productive in the ontology environment?     (1M24)
  • Can universities expand coursework in ontologies and integrate ontological methods into the requirements for science degrees? At the undergraduate level? At the graduate level?     (1M25)
  • Identify individuals who have both domain experience and an understanding of what it means to apply ontology technologies.     (1M26)
  • Increase the number of individuals capable of applying ontology technology     (1M27)
  • Ontology-based technology evolution for big data may be slow or non-existent     (1M28)
  • Advances in the use of ontology technology can be difficult or unattainable without an adequate number of properly trained personnel, including scientists, engineers, programmers, system administrators, technologists, and all others that make up the big data systems.     (1M29)
  • Expanding the markets for ontologies could make the field a more attractive career path. What is the growth rate of the ontology market? Further expansion could spark investment and make ontologies an even more vibrant, attractive market for young people to enter.     (1M30)
  • A Challenge may seed and transform the current status quo     (1M31)
  • Software dilemma analogy with ontology     (1M32)
  • Ontologies and software perceived to be a commodity resulting in little or no investment in research. Projects use ontologies as one of their tasks     (1M33)

Potential challenge directions     (1M34)

1. Increase the awareness of ontology technology among programmers/database managers     (1M35)
2. Accelerate agencies�� adoption of ontology capabilities     (1M36)
3. Enable scientists and engineers to make maximum use of big data     (1M37)
4. Enable scientists and engineers to understand the potential of ontology-based systems integration     (1M38)
5. Enable ontologists to understand scientists and engineers needs     (1M39)
6. Ameliorate any mismatch between those with data and those with the skills to analyze it     (1M40)
7. People in the domains of science, engineering, software, computer science, etc. can benefit from a combined knowledge of their domain and application of ontology-based technologies. A combined understanding of these domains and ontology-based technologies may encourage the growth of technology.     (1M41)
8. Improve critical areas of current practice     (1M42)

This first session of Track 3 - - is to understand the relationships between big data challenges and ontologies. The second session, we hope to talk about solutions and benefits including a NASA big data challenge activity. At the face-to-face meeting, we would like to present various approaches to implementing ontologies using challenges and a sample from the NITRD Big Data working group.     (1M43)

Agenda     (1N)

Ontology Summit 2012 - Panel Session-05     (1N1)

  • Session Format: this is a virtual session conducted over an augmented conference call     (1N2)

Proceedings     (1O)

Please refer to the above     (1O1)

IM Chat Transcript captured during the session    (1O2)

see raw transcript here.     (1O2A)

(for better clarity, the version below is a [ re-organized and lightly edited chat-transcript].)     (1O2B)

Participants are welcome to make light edits to their own contributions as they see fit.     (1O2C)

-- begin in-session chat-transcript --     (1O2D)

-- end of in-session chat-transcript --     (1O2E)

  • Further Question & Remarks - please post them to the [ ontology-summit ] listserv     (1O2F)
    • all subscribers to the previous summit discussion, and all who responded to today's call will automatically be subscribed to the [ ontology-summit ] listserv     (1O2F1)
    • if you are already subscribed, post to <ontology-summit [at]>     (1O2F2)
    • (if you are not yet subscribed) you may subscribe yourself to the [ ontology-summit ] listserv, by sending a blank email to <ontology-summit-join [at]> from your subscribing email address, and then follow the instructions you receive back from the mailing list system.     (1O2F3)

Audio Recording of this Session     (1P)

Additional Resources     (1Q)

For the record ...     (1Q5)

How To Join (while the session is in progress)     (1R)

This page has been migrated from the OntologWiki - Click here for original page     (1R4)