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Ontology Summit 2012: Session-10, Thursday 2012-03-15

Summit Theme: OntologySummit2012: "Ontology for Big Systems"

Track 3 Title: Challenge: Ontology and Big Data

Session Topic: Big Data Developing Challenges

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

Panelists:

  • Professor TimFinin (UMBC) - "Making the Semantic Web Easier to Use" - slides
  • Dr. KyoungsookKim (NICT, JP) - "Use cases of cyber-physical data cloud computing" - slides
  • Dr. MikeFolk (HDF Group) - "The HDF5 technology suite" - slides
  • Dr. MarioPaolucci (LABSS/ISTC/CNR, Rome, Italy) - "FuturICT: Global Participatory Computing for Our Complex World" - slides
  • Dr. UrsulaKattner (NIST) - "Data Needs for the Materials Genome Initiative (MGI) at NIST" - slides
  • Dr. EdinMuharemagic (HPCC Systems; LexisNexis) - "HPCC Systems Machine Learning" - slides

Archives

Conference Call Details

  • Date: Thursday, 15-March-2012
  • Start Time: 9:30am PDT / 12:30pm EDT / 5:30pm CET / 16:30 UTC
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Attendees

ABSTRACT

Session Topic: Meeting Big Data Challenges through Ontology - III

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 10th virtual session.

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 communiqué, with expanded supporting material provided on the web.

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.

Potential issues to be addressed by challenges:

  • Enhance collaboration and accelerate agencies' adoption
  • Accelerate the adoption of ontological methods, maximize public awareness, and impact of research.
  • Increase the number of agencies using ontologies, i.e., earlier adoption
  • Where should our focus be to accelerate agencies' adoption of ontology capabilities?
  • How many scientists, physicists, engineers, programmers, big data administrators, etc. have experience with ontologies?
  • Is the growth of ontological implementations and technologies with Big Data constrained by the shortage of qualified personnel?
  • Inform, educate, and include the public in scientific research and discovery. Public involvement could be a critical component of our success
  • A mismatch between those with data and those with the skills to analyze the data
  • Are programmers able to optimize the use of unstructured or semi-structured data sets for scientists and engineers?
  • What are the talent and skill set issues impacting the use of ontologies?
  • 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.
  • Programmers are not able to optimize the use of unstructured data for scientists and engineers
  • 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
  • Strategic significance to the economy, e.g. enabling competitive products.
  • How long does it take to become productive in the ontology environment?
  • Can universities expand coursework in ontologies and integrate ontological methods into the requirements for science degrees? At the undergraduate level? At the graduate level?
  • Identify individuals who have both domain experience and an understanding of what it means to apply ontology technologies.
  • Increase the number of individuals capable of applying ontology technology
  • Ontology-based technology evolution for big data may be slow or non-existent
  • 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.
  • 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.
  • A Challenge may seed and transform the current status quo
  • Software dilemma analogy with ontology
  • Ontologies and software perceived to be a commodity resulting in little or no investment in research. Projects use ontologies as one of their tasks

Potential challenge directions

  • 1. Increase the awareness of ontology technology among programmers/database managers
  • 2. Accelerate agencies' adoption of ontology capabilities
  • 3. Enable scientists and engineers to make maximum use of big data
  • 4. Enable scientists and engineers to understand the potential of ontology-based systems integration
  • 5. Enable ontologists to understand scientists and engineers needs
  • 6. Ameliorate any mismatch between those with data and those with the skills to analyze it
  • 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.
  • 8. Improve critical areas of current practice

This first session of Track 3 - ConferenceCall_2012_02_09 - was designed to help everyone understand the relationships between big data challenges and ontologies. At this second session today - ConferenceCall_2012_03_15 - we hope to talk about solutions and benefits. At the OntologySummit2012_Symposium, we would like to present various approaches to implementing ontologies using challenges and a sample from the NITRD Big Data working group.

More details about this Summit at: OntologySummit2012 (home page for the summit)

Agenda

Ontology Summit 2012 - Panel Session-10

  • Session Format: this is a virtual session conducted over an augmented conference call
  • 1. Opening - co-chairs [15 min.] ... [ slides ]
  • 2. Panel briefings - - [15 min. each]
    • Tim Finin - "Making the Semantic Web Easier to Use"
      • Abstract: Semantic Web technologies have the potential to support many

activities by providing a Web-based data representation that ties data to semantics models, facilitates data sharing and linking, supports provenance annotations, and can exploit a large and growing collection of background knowledge on the Web. While the concepts and technologies are mature and supported by sound standards, their use within most application communities remains relatively low. This presentation will touch on some current research aimed at reducing the barriers to wider adoption and use. It will describe techniques enabling end users to generate Semantic Web data using familiar software tools, and new approaches to querying large collections of Semantic Web data.

    • Kyoungsook Kim "Use cases of cyber-physical data cloud computing (Tsunami application)"
      • Abstract: I will introduce a new application system based on cyber-physical data cloud for fusion and analysis of physical and social sensing data to facilitate real-world aware information services.
    • Mike Folk - "The HDF5 technology suite"
      • Abstract: HDF5 is a suite of technologies used widely in science and engineering for working with high volume, complex data. As such, HDF5 needs to support metadata as well as data. We will talk about how HDF5 can do this, and give an example.
    • Mario Paolucci - "FuturICT: Global Participatory Computing for Our Complex World"
    • Ursula Kattner - "Data Needs for the Materials Genome Initiative (MGI) at NIST"
      • Abstract: The Materials Genome Initiative (MGI) seeks to enable U.S. companies to discover, develop, manufacture, and deploy advanced materials faster and more cost efficiently. A highly capable Materials Innovation Infrastructure (MII) will enable integrated computational materials engineering by providing a powerful, widely accessible toolkit with computational methods and management and dissemination of digital data.
    • Edin Muharemagic "HPCC Systems Machine Learning"
  • 3. Q & A and open discussion [All: ~30 min.] -- please refer to process above
  • 4. Wrap-up / Announcements - (co-chairs)

Proceedings

Please refer to the [ above]

IM Chat Transcript captured during the session

see raw transcript here.

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

Participants are welcome to make light edits to their own contributions as they see fit.

-- begin in-session chat-transcript --

Peter P. Yim: Welcome to the

Ontology Summit 2012: Session-10, Thursday 2012-03-15

Summit Theme: Ontology Summit 2012: "Ontology for Big Systems"

Track (3) Title: Challenge: Ontology and Big Data

Session Topic: Big Data Developing Challenges

Session Chairs: Ms. Mary Brady (NIST) and Mr. Ernie Lucier (NCO/NITRD)

Panelists:

  • Professor Tim Finin (UMBC) - "Making the Semantic Web Easier to Use"
  • Dr. Kyoungsook Kim (NICT, JP) - "Use cases of cyber-physical data cloud computing"
  • Dr. Mike Folk (HDF Group) - "The HDF5 technology suite"
  • Dr. Mario Paolucci (LABSS/ISTC/CNR, Rome, Italy) - "FuturICT: Global Participatory Computing for Our Complex World"
  • Dr. Ursula Kattner (NIST) - "Data Needs for the Materials Genome Initiative (MGI) at NIST"
  • Dr. Edin Muharemagic (HPCC Systems; LexisNexis) - "HPCC Systems Machine Learning"

Session page: http://ontolog.cim3.net/cgi-bin/wiki.pl?ConferenceCall_2012_03_15

Mute control: *7 to un-mute ... *6 to mute

Can't find Skype Dial pad? ... it's under the "Call" dropdown menu as "Show Dial pad"

Proceedings:

anonymous morphed into Tim Finin

anonymous morphed into Hasan Sayani

anonymous morphed into Matthew Hettinger

anonymous morphed into Mike Folk

anonymous1 morphed into Ed Lowry

anonymous morphed into Andrea Westerinen

anonymous morphed into Christopher Spottiswoode

Kyoungsook Kim: can you hear me

anonymous1 morphed into Mario Paolucci

anonymous morphed into DavidOrloff

anonymous morphed into Cory Casanave

anonymous morphed into RosarioUcedaSosa

anonymous morphed into Elizabeth Florescu

Bob Schloss: Peter, Leo et al: I am thinking about the April 12-13 F2F at NIST. I may not be able to

be in Maryland by first thing in the morning on April 12th. Would you aim to put some details about

start time, and agenda, on the page for the Symposium sometime in the next week. Thank you

Bob Schloss: I do see that the page says that if you arrive at NIST at 8am, there will be time to get

through security before things start. I just want to check that I could still arrive later and get

through Security.... If there is one person I should talk to about such logistics, just give me

their name, e-mail address, phone number. Thank you.

Mary Brady: Bob, you can most certainly arrive later at NIST and get through security. Arriving at

8:00 will just allow you to make it through prior to the start of the meeting.

Michael Grüninger: @BobSchloss: We will be putting an initial agenda up on the Symposium page

sometime tomorrow

Peter P. Yim: @BobSchloss - ref. person you can call - the official contact I have from the NIST

registration page is at:

http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2012/WorkshopRegistration#nid36LP ... so feel

free to call me on my mobile ( 650 578.9998 ) too

Peter P. Yim: == Chairs doing intro ...

Doug Foxvog: I've been unable to connect to Shared-screen support at http://vnc2.cim3.net:5800/ . Is

it up and running?

Peter P. Yim: @Doug ... it should be - does anyone else have problems (especially if you have been able

to do that before)

Doug Foxvog: I was unable to connect with Firefox. But i managed to dredge up an Internet Explorer,

and there was no problem. If anyone else is having a problem connecting with Firefox, i would

suggest they try a different browser.

Mario Paolucci: I'm seeing the VNC but it took quite a while to establish connection

Peter P. Yim: @Mario - don't worry about it (if you cannot get a "good" connection to the vnc server)

just use your own slides (on your desktop) but please remember to call out slide advances and call

out the slide numbers each time

anonymous morphed into Joseph Tennis

anonymous1 morphed into JodyDesRoches

anonymous2 morphed into Buck Nimz

anonymous morphed into Ursula Kattner

anonymous1 morphed into Christopher Spottiswoode

Peter P. Yim: == Tim Finin presenting ...

DeborahMacPherson: Hi Everyone! Interesting discussion this all has been. I have several entire

threads set aside to read again fully

Steve Ray: @Tim Finin: Very cool. Is there a way to point your GOR tool to other SPARQL endpoints?

Leo Obrst: @Tim: concerning Varish Mulwad's research (inferring semantics of tables), was Formal

Concept Analysis considered?

Tim Finin: @leo --- No, not to my knowledge. Good idea. We'll look into it and think about its value

for this problem.

Ernie Lucier: HTTP copies as hFp for all reference URLs in TimFinin's presentation. Replacing hPf

with http works.

Peter P. Yim: == Kyoungsook Kim presenting ...

Kyoungsook Kim: hi

Mary Brady: Dr. Kim, we are ready, *7 to un-mute

Joseph Tennis: This has been GREAT! Sorry I was late. And sadly, I'll have to leave early Looking

forward to participating more in the near future!

Peter P. Yim: @JosephTennis - Thank you for the participation, Joe

Joseph Tennis: ciao!

Nicola Guarino: Folks, unfortunately I have a car emergency, I have to leave. Perhaps I'll manage to

connect again in 40 minutes or so, not sure. Sorry missing Mario's presentation.

Peter P. Yim: @Nicola - thank you for the heads up ... bye!

Ernie Lucier: Is permission to use social networks required?

Harold Boley: @Dr. Kim, in Real-world Awareness Computing, could the

Observation / Perception / (Communication) / Action sequence be formalized using

Event / Condition / Action rules?

Kyoungsook Kim: currently, I try to use a rule-based language.

Kyoungsook Kim: like datalog

Harold Boley: Maybe the premises of datalog rules need to be partitioned into Event and Condition

parts?

Harold Boley: Events are 'sensed' as external observations. Conditions 'test' the internal knowledge

base.

Peter P. Yim: == Mike Folk presenting ...

Bob Schloss: Just an observation -- many people are working on highly scalable triplestores, some

with interesting partitioning and distribution and federation functions. We might sometime convene a

panel with all of these people showing what they did. It is not just graph stores that are advancing

-- the entire NoSQL movement is starting to develop various interesting strategies, in which some of

the classic ACID properties are slightly relaxed.

Ali Hashemi: The pdf version of this presentation is not rendering appropriately for me. Is it just

me?

Kyoungsook Kim: me too

Ali Hashemi: @Kyoungsook - I downloaded the file and opened it in Reader - it works ok there, I think

my browser's pdf reader doesn't show it correctly.

Kyoungsook Kim: thank you.

Amanda Vizedom: @MikeFolk - HDF5 is new to me, so I find I have some "what *is* HDF5?" questions

below the level of your talk. I see that at http://www.hdfgroup.org/HDF5/, there are links for "What

is HDF5?" "Questions (FAQ)," and "HDF5 Tutorial" links. Would you recommend these as the best source

for an overview of the fundamentals of HDF5?

DavidOrloff: Sorry need to run to a meeting - if anyone is looking for data to work with that is

already tagged with ontologies (9 in use) look at http://www.cellimagelibrary.org and contact me

DavidOrloff at dorloff[at]ascb.org - thanks for letting me sit in - I will be back for future calls.

Peter P. Yim: == Mario Paolucci presenting ...

Peter P. Yim: @MarioPaolucci - how does the project mitigate between its desire to be "open" versus it's

dependencies (ref. your slides) on commercial products (like skype, facebook, etc. ... which are

usually non-open)

Mario Paolucci: @PeterYim: There are several strategies possible. We plan to build alternative data

sources and provide access to them. We will not depend on commercial platforms (the names in the

slide were there more as an examples of changes brought about by technology), but we hope to create

our own data sharing platform, where user themselves authorize access to their data. In a sense, we

hope to convince people to reclaim access to their data.

Mario Paolucci: @PeterYim: We think users would be happier to share data with a privacy preserving,

non profit project, but it's a risky bet, I agree.

Peter P. Yim: @Mario - thank you ... but then, the challenge comes in the form of how (and if at all)

one can build out a user base of hundreds of millions of people (like the success some of these

commercial social network platforms have achieved)

Harold Boley: @MarioPaolucci, what would be the initial steps for moving from a Strongly Coupled

System to a Weakly Coupled System?

Mario Paolucci: @Harold: I can only provide stylized examples; it depends from the specific problem.

But of course you can hardly intervene on the self-organization, so what can be done is changing the

terrain where things happen. The examples that come to my mind is the roundabout instead of the

intersection; or in a sand pile model, breaking up the table so that cascades remain limited.

Harold Boley: @Mario, You could 'overlay' the roundabout -- with 4 quarter-circle 'bypasses' -- over

the intersection, so at least to help those not in the center of the congestion.

Mario Paolucci: @Harold:Exactly. Also, adding new dimensions help - either by digging a tunnel, or -

better - providing car with vertical mobility. Think if this as a metaphor - new dimensions are

easier to create in virtual worlds, of course

Mario Paolucci: oops. I forgot to put the links.

Mario Paolucci: list of supporters: http://www.futurict.eu/the-project/whos-involved

Mario Paolucci: to join: http://www.futurict.eu/the-project

Peter P. Yim: == Ursula Kattner presenting ...

Ursula Kattner: The link for the Materials Genome Initiative is

http://www.whitehouse.gov/blog/2011/06/24/materials-genome-initiative-renaissance-american-manufactu

ring

DeborahMacPherson: Interested in discussing the differences between calculated and measured values

referred to by the speaker just now

Ursula Kattner: @DeborahMacPherson: Measured values have a confidence resulting from the error of the

measurement, calculated values have no such error. However, a confidence for these data is needed to

properly judge them in the context of data that describe a material.

DeborahMacPherson: Need to sign off - thanks to all the speakers -

Peter P. Yim: == Edin Muharemagic presenting ...

Doug Foxvog: I think we're on slide 3

Peter P. Yim: @Mary - please ask the speaker to call out the slide advance AND slide number

Mary Brady: Please, if you have questions, post them here...we'll be sure to engage the speakers in

answering the questions over e-mail

Matthew Hettinger: @Edin, What open source products are you using?

Peter P. Yim: == Mary Brady (co-chair) moderating open discussion

Mary Brady: In particular a number of technologies and use cases for BIG DATA have been presented

this afternoon. Any thoughts on potential uses for Ontology?

Mario Paolucci: @Mary: We have ontology components in all parts of the FuturICT architecture, of

course. Nicola Guarino knows more about them. But we have a critical need of ontologies that allows

the different components to communicate - think of aligning models and simulation results along

disciplines (sociology, complex science) and along levels of detail (individual agents,

organizations, groups, etc.) There should be a world of modeling component in which ontology is very

important.

Frank Olken: @PeterYim Will all of the Ontology Summit sessions be webcast? I am thinking of

attending remotely ...

Peter P. Yim: @FrankOlken - are you referring to the OntologySummit2012_Symposium (at NIST on 4/12 &

13)?

Peter P. Yim: @Frank - ... assuming that, the answer is "yes" - remote participation will be supported

for all the sessions

Frank Olken: @PeterYim Yes, I am referring to the Ontology Summit on April 12-13 at NIST. I am

already committed to a trip the previous week (Data Engineering conf) and am reluctant to commute to

DC twice in 2 weeks.

Steve Ray: @Frank: We may have a problem using Skype when we are at NIST, because they ban Skype

there for security reasons.

Peter P. Yim: @Steve, @Frank - we will be hosting calls in a way (and with the same tools) similar to

all Ontolog virtual session ... except that we may not support shared-screen (vnc), but then, that

has never been a show stopper for us

Frank Olken: @PeterYim I think that your infrastructure for supporting the teleconferences has worked

quite well. I use skype to listen.

anonymous morphed into Nicola Guarino

Mario Paolucci: @Nicola: bentornato!

Mary Brady: Any thoughts on the integration of ontology components with output from machine learning

techniques?

Frank Olken: @MaryBrady I recall that some folks have suggest using ontologies to suggest concepts to

be learned.

Mary Brady: @FrankOlken Yes, here at NIST we have used combination techniques between ontologies and

machine learning. Simple queries can sometimes take days to complete.

Frank Olken: Nearly every machine learning algorithm is available under R.

Frank Olken: There are versions of R that run on clouds with Hadoop.

Frank Olken: There is recent work at IBM and Univ. of Wisconsin on parallel implementation of

stochastic gradient descent for machine learning.

Leo Obrst: Must go now. Very interesting session. Thanks to all!

Doug Foxvog: @Mario You discuss using "Crowd sourcing" and "citizen science" for a platform for

economic and political participation. People on different sides of various issues would have

competing "science". How would you deal with this?

Nicola Guarino: @Doug: here is exactly one of the roles of ontologies in this project: exposing

disagreements about different opinions...

Nicola Guarino: @Doug: the point is *understanding* the different models, not necessarily forcing

them to align one each other

Doug Foxvog: @Nicola So long as the different theories/models are kept separate, i strongly agree.

The problem i saw was with an "open" system which would allow people to modify theories that they

didn't create.

Nicola Guarino: @Doug: You are right. Definitely people shouldn't be allowed to modify things at

their ease... especially if the underlying assumptions are not shared...

Mario Paolucci: Thank you everybody for listening and for the questions. I have to leave now, bye!

Peter P. Yim: @KyoungsookKim - how effectively did the systems cited in your use cases turn out (in real

life) ... were there metrics available?

Amanda Vizedom: Dr. Kim, someone responded to my G+ posting about your presentation by mentioning

evacuation response research such as some at Univ. of Minnesota (

http://gradworks.umi.com/32/05/3205248.html,

http://www.spatial.cs.umn.edu/paper_ps/evac_SSTD05.pdf). My response is that this sort of research,

in itself valuable, would relate to your use case as a contribution to *one* of the areas of

computation involved in the response. It seems to me that what makes your use case such a Grand

Challenge type case is that it brings together a variety of such areas, including route-planning and

information fusion across very heterogenous sensor and information types and disaster surveillance

over networks. Do you agree?

Amanda Vizedom: @KyoungsookKim - I should add that I think it's really a very good Grand Challenge,

for a few reasons, including that it is so well grounded in a real need *and* real, existing data

environments, and success has such clear benefits.

Ernie Lucier: @Dr. Kim, Is permission to use social networks required or a problem?

Kyoungsook Kim: using social network, we don't try to use personal information itself. We aggregate a

group of messages and extract trend information or changing information.

Steve Ray: Must run. Thanks for a stimulating session.

Peter P. Yim: wonderful session ... great presentations!

Peter P. Yim: -- session ended: 11:49am PDT --

-- end of in-session chat-transcript --

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  • Conference Date and Time: 15-Mar-2012 9:36am~11:49am PDT
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