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EarthScienceOntolog: Panel Session-01 - Thu 2012-08-23

Mini-Series Theme: An Earth Science Ontology Dialog ("EarthScienceOntolog")

Session Topic: Value Proposition of Ontology and Semantic Technology for the Earth Science Community

Session Co-chairs: Dr. LeoObrst (Ontolog; MITRE) and Professor KrishnaSinha (Virginia Tech) - intro slides

Panelists / Briefings:

  • Professor KrishnaSinha (Virginia Tech) - "How Can Semantics Change Data Practices of the Earth Cube Geoscience Community?" - slides
  • Professor KrzysztofJanowicz (UC Santa Barbara) - "The Value Proposition of Semantic Technologies and Ontologies for the Earth Sciences" - slides
  • Dr. DaliaVaranka (USGS) - "Rethinking the Meaning of Data for Integrated Science Problem Solving" - slides
  • Professor PascalHitzler (Wright State U) - "On the uptake of Semantic Web Technologies" - slides
  • Mr. MikeDean (Raytheon-BBN) - "Semantic Web for Earth Science" - slides

Archives

Abstract

Value Proposition of Ontology and Semantic Technology for the Earth Science Community - slides

This is the kick-off session of the Joint EarthCube-Ontolog Mini-series on "Ontology and Semantic Technology for the Earth Science Community" - a series of panel sessions dubbed: "EarthScienceOntolog" - an Earth Science Ontology Dialog.

This mini-series of events are co-organized/supported by members of the Earth Cube community, Ontolog community, SOCoP community, IAOA community.

The Earth Science Ontolog mini-series is designed to explore the current status and application of multi-level ontologies towards developing a semantically enabled cyberinfrastructure for the Earth Science Community. In addition, one key mission of the mini-series is to bring together members of both communities (Earth Science and ontology/semantics) into a meaningful dialog. We anticipate that the sharing of requirements and use cases, geo-science problems and issues, ontological engineering architectures and approaches, and prospective tools, will enable collaborative understanding of the challenges and potential value in the application of ontology and semantics in Earth Science.

At our planning session, the organizing committee thought it very important that the Geo-Science community and the Ontology / Semantics community come together and begin to understand each other better. So at this first session of the mini-series, we will start with some geo-scientists discussing needs, use cases, etc., from their perspective, i.e., what are the problems facing the Geo-Science community, e.g., data access and discovery issues, impeding terminology differences, changing collaboration models, etc. Then some ontologists / semantic technologists could respond to those issues and offer what they see as the value proposition to Geo-Science. This kind of discussion, joined in by the session participants in the ensuing Q&A and open discussion, augmented by our in-session in chat, could lay the foundation for the remaining sessions, give us all some initial common understanding.

More details about this mini-series at: EarthScienceOntolog (home page for the mini-series)

Briefings

  • Professor KrishnaSinha (Virginia Tech) - "How Can Semantics Change Data Practices of the Earth Cube Geoscience Community?" - slides
    • Abstract: ... It is well recognized that solutions to new scientific challenges are rooted in use/reuse of data and tools. However, current data and tool sharing practices face many barriers, and is especially dominant in the world of individual researchers (long tail of science community) whose observational data are required to understand how natural systems change over time through physical, chemical, and biological processes. The most common reasons cited by individual researchers are related to lack of time, future publishing opportunities, ownership of data, concerns related to misuse of data, credit for professional advancement, lack of institutional support,and opportunities for commercial applications. These cultural challenges can be mostly resolved through use of semantics by: (1) developing technologies that enable individual researchers to share data quickly and easily while retaining ownership, (2) creating a system for providing credit through data citation index (measure of reuse), and controlled lineage through multiple data cycles, and (3) demonstrate through semantically resolved real world use cases, that timely sharing of data can lead to efficiencies in discovering new knowledge.
  • Professor KrzysztofJanowicz (UC Santa Barbara) - "The Value Proposition of Semantic Technologies and Ontologies for the Earth Sciences" - slides
    • Abstract: ... Semantic technologies and ontologies are proposed as key building blocks for next-generation scientific infrastructures and workflow systems. However, their added value often remains hidden from the user and their potential is often not exploited beyond improving keyword search. This talk outlines which role semantic technologies and ontologies can play within the earth sciences and how they can support scientists in publishing, discovering, and integrating data.
  • Dr. DaliaVaranka (USGS) - "Rethinking the Meaning of Data for Integrated Science Problem Solving" - slides
    • Abstract: ... The implementation of valuable legacy data using semantic technologies provides the opportunity to reexamine the way the data were historically modelled and interpreted compared to the way they can be used to meet updated objectives. The discovery of contradictions or inconsistencies in the data, as well as strengths and enduring uses, and designing new solutions takes time, but can improve scientific inquiry by sharpening the focus on the way that the data interacts within an information network and responds to user needs. Semantic technology provides ways to expand the expression of data semantics to stress the desired aspects needed for science analysis.
  • Professor PascalHitzler (Wright State U) - "On the uptake of Semantic Web Technologies" - slides
    • Abstract: ... In this talk I'll present a birds eyes' perspective on the uptake of Semantic Web Technologies in application areas. I'll dare to make some projections, and will briefly line out some important considerations for aligning Earth Science data management and use with the state of the art in Semantic Web Technologies.
  • Mr. MikeDean (Raytheon-BBN) - "Semantic Web for Earth Science" - slides
    • Abstract: ... Semantic Web technologies (including the synergistic combination of ontologies and linked data) appear to be widely applicable to large scale earth science data management and applications. We'll briefly discuss ontologies, linked data, and several particularly relevant emerging technologies: GeoSPARQL, the RDF Data Cube Vocabulary, RDB to RDF, and provenance.

Agenda

EarthScienceOntolog - Panel Session-01

  • Session Format: this is a virtual session conducted over an augmented conference call

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 --

[09:23] Welcome to the

EarthScienceOntolog: Panel Session-01 - Thu 2012-08-23

Mini-Series Theme: An Earth Science Ontology Dialog ("EarthScienceOntolog")

Session Topic: Value Proposition of Ontology and Semantic Technology for the Earth Science Community

Session Co-chairs: Dr. Leo Obrst and Professor Krishna Sinha

Panel-Briefings:

  • Professor Krzysztof Janowicz - "The Value Proposition of Semantic Technologies and Ontologies for the Earth Sciences"
  • Dr. Dalia Varanka - "Rethinking the Meaning of Data for Integrated Science Problem Solving"
  • Professor Pascal Hitzler - "On the uptake of Semantic Web Technologies"
  • Mr. Mike Dean - "Semantic Web for Earth Science"

Logistics:

  • (if you haven't already done so) please click on "settings" (top center) and morph from "anonymous" to your RealName
  • Mute control: *7 to un-mute ... *6 to mute
  • Can't find Skype Dial pad?
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(as a Dial pad seems to be missing on Linux-based Skype v4.x for skype-calls.)

Attendees: Amit Deokar, Anne Thessen, Bob Smith, Bobbin Teegarden, Chuck Ward, Deana Pennington,

David Valentine, Deborah Nichols, DeborahMcGuinness, Dickson Lukose, Doug Foxvog, Frank Chum,

GaryBergCross, GenhanChen, Joanne Luciano, Joel Carbonera, John Graybeal, Ken Baclawski,

Krzysztof Janowicz, Leo Obrst, Mara Abel, Marcio Faerman, MarshallXMa, Mike Bennett, Mike Dean,

Naicong Li, Nancy Wiegand, Pascal Hitzler, Patrice Seyed, Patrick Virden, Pavithra Kenjige, Peter P. Yim,

Scott Hills, ScottPeckham, SiriJodhaKhalsa, Todd Schneider, Tom Tinsley, Yannis Roussakis, Yingjie Hu,

Alex Shkotin, Krishna Sinha, mark, Uma,

Proceedings:

[08:34] anonymous morphed into Dickson Lukose

[08:58] anonymous morphed into Marcio Faerman

[09:25] Krzysztof Janowicz: So far I cannot connect to the VNC server

[09:25] Pascal Hitzler: yep cannot connect either yet :)

[09:26] Peter P. Yim: @Krzysztof & Pascal - don't worry, shared-screen (vnc) service is only optional

[09:33] Yingjie Hu: I can see the vnc, but it doesn't allow me to input the password

[09:35] Krzysztof Janowicz: same for me, you can download the slides at

http://ontolog.cim3.net/cgi-bin/wiki.pl?ConferenceCall_2012_08_23

[09:35] Yingjie Hu: OK, thank you

[09:29] anonymous4 morphed into mark

[09:30] anonymous2 morphed into GenhanChen

[09:30] anonymous3 morphed into Deborah Nichols

[09:30] anonymous1 morphed into Yingjie Hu

[09:30] anonymous2 morphed into Naicong Li

[09:30] anonymous3 morphed into Joel Carbonera

[09:31] anonymous morphed into Tom Tinsley

[09:31] anonymous1 morphed into Bob Smith

[09:31] anonymous1 morphed into Anne Thessen

[09:32] anonymous3 morphed into Patrick Virden

[09:32] anonymous2 morphed into Scott Hills

[09:32] anonymous4 morphed into Chuck Ward

[09:32] anonymous1 morphed into Cybershare - Deana Pennington

[09:35] anonymous1 morphed into Alex Shkotin

[09:37] anonymous1 morphed into David Valentine

[09:39] anonymous1 morphed into Uma

[09:40] anonymous1 morphed into Bobbin Teegarden

[09:41] anonymous1 morphed into Mara Abel

[09:43] anonymous1 morphed into MarshallXMa

[09:43] anonymous morphed into Patrice Seyed

[09:49] anonymous morphed into Yannis Roussakis

[09:37] Peter P. Yim: == Leo Obrst started the session with the introductory slides

[09:40] Todd Schneider: Leo, what does 'multi-level' ontology mean?

[09:47] Leo Obrst: "Multi-level" can mean 2 things: 1) the typical foundational, midlevel/super

domain, and domain levels of ontological architecture, but also 2) multiple levels of granularity

and contexts/perspectives in specific domains such as Earth Science.

[09:51] Peter P. Yim: @Leo - please prompt those on the call to log into the chat-room again (we have 45

people on the call now)

[09:43] Peter P. Yim: == Krishna Sinha presenting ...

[09:56] Scott Hills: Regarding discovery of data: This does not just apply to that held by

individuals, but to that maintained in "Data Centers" as well. How many Data Centers might contain

data of interest, and how many of those do you know about, and know how to use (each often has a different UI)?

[10:14] Krishna Sinha: Hi Scott, The data centers are very visible and their data content is well

known; an ontology framework that can map the data held in different centers would be welcome

[10:15] Pascal Hitzler: @Krishna - what do you mean with "framework" here?

[10:18] Krishna Sinha: @Pascal- an ontology based infrastructure that points to the data content of data centers

[10:15] Anne Thessen: This is true for many data centers, but there are some, such as Dryad that

takes files with little to no guidance as to structure or content

[10:16] GenhanChen: To Krishna: could you provide an example to explain the ontology framework on your slide #11?

[10:19] Scott Hills: Krishna, we may have different definitions for visibility. They may be

accessible (your sense of "visible?"), but I question how many people know *where* to access them.

For example, if I ask for the data centers that contain geochemical data, or seismic data, or well

cores (take your pick), how many people could offer a comprehensive list?

[10:26] Krishna Sinha: @ Scott-- a high level ontology that can capture the data types held at

Centers would enable a user to find which centers hold what types of data

[10:49] Doug Foxvog: Scott Hills asks above "how many people could offer a comprehensive list [of data

centers that contain various types of geochemical data]". This seems to me to actually be a call for

a knowledge base of data centers containing information about what types of data are covered in the

various data centers. With linked data, such a knowledge base need not be centrally located, merely

a vocabulary for making the statements needs to be defined, each data base could specify what types

of data it covers, and the linked data needs to be made widely available.

[10:41] Scott Hills: Krishna, our thinking is starting to converge. The point I was working toward: I

believe a good argument can be made for the need for ontologies that enable discovery of data across

the landscape of proliferating Data Centers. I suspect the same ontologies would help enable

discovery of data published by individuals. That said, I suspect the "level" of such ontologies need

to go beyond data type, or their utility will be very limited.

[10:44] Krzysztof Janowicz: Scott, yes ontologies should always be 'more' than just data models

[10:47] Krishna Sinha: @Scott--I agree, and I also think most users would be comfortable with high to medium level granularity

[10:19] Amit Deokar: @Krishna - We notice a lot of emphasis on managing data. What are your views on

how important it is to manage associated computational models, share them, annotate them, and so

forth so that they are accessible like data, avoiding problems of reinventing the wheel?

[10:22] Krishna Sinha: @ Amit- i support an ontology framework that organizes services that would

include existing models and other computational tools..its the service ontology on slide 11

[10:41] John Graybeal: @Krishna: Re your endorsement of data citation: Why should this community

particularly endorse data citation, more than it should endorse all the data practices that benefit

from ontologies: description, provenance, versioning, unique identification, ...? All seem noble causes.

[10:58] Leo Obrst: @Krishna: I think one very important issue you raised is the incentive for

individuals (and organizations) for sharing data: in the research community, what is the incentive

for a researcher to expose his/her data and its meaning? What supports scholarly acknowledgment of

the contribution?

[11:02] Krishna Sinha: @Leo--There are two ways to expose data..regular publications for which there

is a citation index ( often used for promotions etc) ..the critical issue is what incentives we can

support to have people share data that is not formally published..data citation index is one way to go

[09:57] anonymous1 morphed into SiriJodhaKhalsa

[09:58] anonymous morphed into Pavithra Kenjige

[09:59] anonymous1 morphed into DeborahMcGuinness

[10:02] anonymous morphed into Krishna Sinha

[10:00] Peter P. Yim: == Krzysztof Janowicz presenting ...

[10:00] Pavithra Kenjige: Did he say that we have such a semantic infrastructure already available??

[10:01] Chuck Ward: Have you also considered community expectations such as data archiving

requirements with journal articles? e.g. evolutionary biology

[10:09] SiriJodhaKhalsa: what is the advantage of creating or using an ontology for encoding

provenance/quality/appropriateness-of-use information beyond creating metadata according to a

well-defined standards like ISO 191**?

[10:37] John Graybeal: To Siria Jodha (Hi!): The advantages of using ontologies for encoding any

content, *including* provenance/quality/appropriateness-of-use information: (1) Readers of the

metadata know exactly what you mean ('exactly', relatively speaking), (2) there is better

mapping/understanding across communities for these concepts. (While I appreciate ISO 191** provides

vocabularies, I often find them underdefined, incomplete, and locally inconsistent. And often ISO

191** doesn't provide a vocabulary, so the content is wide open.)

[10:09] Peter P. Yim (added subsequently): @SiriJodhaKhalsa - you might want to take a look at the two

Ontology Summit communiques - Ontology for Big Systems:

http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2012_Communique and Making the Case for

Ontology: http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2011_Communique - where some of the

benefits were enumerated by the community

[10:23] Leo Obrst: @Krzysztof: you cited some research concerning the last bullet on translation

between conceptual models on slide 5. Can you provide that reference?

[10:27] Krzysztof Janowicz: Yes Leo, for instance the work of Mark Gahegan. This paper may be a good

starting point and overview: A Semantic Web Map Mediation Service: Interactive Redesign and Sharing

of Map Legends by Mark Gahegan, Will Smart, Sina Masoud-Ansari, and Brandon Whitehead.

[10:52] Peter P. Yim: whoever said, "Krzysztof, fully agree with your view. Understanding formal

semantic and reusing well fundamented ontologies. " ... please note that the space to type your

message is next to the "send" button (at the bottom) and not the box next to the "hand" button

[10:15] anonymous morphed into Doug Foxvog

[10:15] anonymous morphed into ScottPeckham

[10:20] Peter P. Yim: == Dalia Varanka presenting ...

[10:29] Peter P. Yim: == Pascal Hitzler presenting ...

[10:30] Krzysztof Janowicz: "Did he say that we have such a semantic infrastructure already

available??" --> I would argue so

[10:52] Scott Hills: Pascal, would you agree that whether an ontology is high-quality depends on how

well it satisfies the needs for which it was engineered?

[10:55] Pascal Hitzler: @Scott - this looks reasonable, however I would think that more can be said

about the "quality" issue. In fact, there is quite a bit of work on "Evaluation of Ontologies", and

there is also a established workshop series about this topic.

[10:57] Bobbin Teegarden: @Pascal URL for the workshop?

[11:01] Pascal Hitzler: The workshop series - see e.g. http://km.aifb.kit.edu/ws/eon2007/ .

[10:58] Pascal Hitzler: I suggest to start with DennyVrandecic's PhD thesis: http://www.aifb.kit.edu/images/b/b5/OntologyEvaluation.pdf

[10:48] Peter P. Yim: == Mike Dean presenting ...

[10:51] anonymous morphed into MarshallXMa

[11:18] Leo Obrst: @Mike: do you have a url for the LOD Framework initiative?

[11:02] Peter P. Yim: == open discussion commences ...

[11:03] Pascal Hitzler: re. "Linked Data Quality", have a look e.g. at http://blog.semantic-web.at/2012/08/09/whats-wrong-with-linked-data/

[11:05] Pascal Hitzler: Leo / Krishna: The Semantic Web journal, for example, recently established

Linked Dataset Descriptions as regular paper type. The purpose of this introduction is to generate

academic incentive for the production of high-quality Linked Datasets.

[11:07] MarshallXMa: @Pascal: Another journal (Geoscience Data Journal) with similar ideas:

http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%292049-6060

[11:03] MarshallXMa: @LeoObrst: Such as, a stable repository to upload and describe (with a metadata

form) the dataset, and easy way to assign a DOI for it.

[11:11] Todd Schneider: John, part of the needed infrastructure is the Open Ontology Repository.

[11:12] John Graybeal: Yes (the question was, "What has to happen on the ground for these advantages

to be obtained?" With particular attention to the practical realities of the practicing data

managers.

[11:13] John Graybeal: @Todd: As provider of an OOR equivalent (MMI's ORR), I want to go farther.

Let's assume there's a perfect repository in existence. And even, really good vocabularies from

communities. How do they integrate this into their developed data systems?

[11:14] Todd Schneider: John, education. It would appear that many people working in the area of

semantic technologies' don't know enough. Dalia addressed this.

[11:16] Krzysztof Janowicz: John, IMHO it needs a earth science specific tutorial and a set of

reusable building blocks

[11:14] Scott Hills: Pascal, thanks for the URL. I'll look through the material (up through 2007?).

Any chance I'll find suggestions to answers like, what applications are best served using SKOS vs.

OWL DL with domain-specific properties?

[11:18] Pascal Hitzler: @Scott - I would guess that answers to such specific questions can probably

not be found easily. "Best practices" in applying semantic technologies are not (yet) written up in

any concise form, afaik. Note that it is only two years or so that we got textbooks which cover the

bare basics of the discipline. Currently, I guess the best approach to get such questions answered

is to consult a specialist.

[11:15] Marcio Faerman: My question referred on how to justify and support, throughout the community,

@KrzysztofJanowicz "Final Thought" slide - "... It seems that we hope to arrive at semantic

interoperability by standardization instead of investing into research on alignment and semantic

translation to reduced incompatibility. This may turn out to be a fundamental misconception. I

believe that standardization is the more difficult of both approaches..."

[11:18] Marcio Faerman: Then I followed up with the question about conciliating multi-disciplinary

research and knowledge discoverability through semantic translation.

[11:16] Mike Bennett: Something we are finding is the distinction between one ontology for one

application, versus overall domain ontology (standard) which is use-case neutral. Both are vital.

And different.

[11:19] Krzysztof Janowicz: Mike Bennett, yes -- I am not arguing against higher level ontologies. It

needs both.

[11:19] Mike Bennett: @Krzystof agreed. Work to be done on the heuristics for extracting a relevant

sub-set of domain ontology for a given use case.

[11:22] John Graybeal: @Mike: In addition to single ontology vs overarching ontology, there are

typically multiple authoritative (sic) vocabularies within each domain, and maybe one or two

ontologies as well. Making integrative use of that information is, for now, impossible without a lot

of human investment.

[11:24] Mike Bennett: @John very much so. Needs to be done across industries. One chance to get it

right I think.

[11:25] Krzysztof Janowicz: IMHO, this makes GeoSPARQL so strong

[11:27] Scott Hills: Pascal, thanks for that info (13:18). Good to know, since I haven't been able to

find such material to date.

[11:29] Joanne Luciano: Thanks to the organizers and presenters!

[11:29] Frank Chum: W3C Oil, Gas & Chemical Business Group: http://www.w3.org/community/oilgaschem/

is developing a use case to collaborate on ontologies for drilling automation. Involving multiple

Oil & Gas standards organizations.

[11:29] Peter P. Yim: == Final remarks by Krishna Sinha ...

[11:31] Frank Chum: Thank you.

[11:31] Peter P. Yim: great session!

[11:31] Krzysztof Janowicz: thanks, bye bye

[11:31] Leo Obrst: Thanks, All!

[11:31] Peter P. Yim: -- session ended: 11:31am PDT --

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

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