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Ontology Summit 2014 session-03 Track-B: Making use of Ontologies: Tools, Services, and Techniques - I - Thu 2014-01-30     (1)

  • Summit Theme: OntologySummit2014: "Big Data and Semantic Web Meet Applied Ontology"     (1A)
  • Session Topic: Track B: "Making use of Ontologies: Tools, Services, and Techniques - I"     (1B)
  • Session Co-chairs: Dr. ChristophLange (University of Bonn / Fraunhofer IAIS), Professor AlanRector (University of Manchester) ... intro slides     (1C)

Briefings:     (1D)

  • Professor TillMossakowski (University of Magdeburg) - "Challenges in Scaling Tools for Ontologies to the Semantic Web: Experiences with Hets and OntoHub" ... slides     (1E)
  • Dr. ChrisWelty (IBM Research) - "Semantic Technology in Watson" ... slides     (1F)
  • Professor AlanRector (University of Manchester) - "Axioms & Templates: Distinctions & Transformations amongst Ontologies, Frames, & Information Models �� or �� OWL, UML, and Frames" ... slides     (1G)

Abstract     (1O)

Making use of Ontologies: Tools, Services, and Techniques �� I ... intro slides     (1O1)

This is our 9th Ontology Summit, a joint initiative by Ontolog, NIST, NCOR, NCBO, IAOA & NCO_NITRD with the support of our co-sponsors.     (1O2)

Since the beginnings of the Semantic Web, ontologies have played key roles in the design and deployment of new semantic technologies. Yet over the years, the level of collaboration between the Semantic Web and Applied Ontology communities has been much less than expected. Within Big Data applications, ontologies appear to have had little impact.     (1O3)

This year's Ontology Summit is an opportunity for building bridges between the Semantic Web, Linked Data, Big Data, and Applied Ontology communities. On the one hand, the Semantic Web, Linked Data, and Big Data communities can bring a wide array of real problems (such as performance and scalability challenges and the variety problem in Big Data) and technologies (automated reasoning tools) that can make use of ontologies. On the other hand, the Applied Ontology community can bring a large body of common reusable content (ontologies) and ontological analysis techniques. Identifying and overcoming ontology engineering bottlenecks is critical for all communities.     (1O4)

Ontology Summit 2014 will pose and address the primary challenges in these areas of interaction among the different communities. The Summit activities will bring together insights and methods from these different communities, synthesize new insights, and disseminate knowledge across field boundaries.     (1O5)

Session Details     (1O6)

At the Launch Event on 16 Jan 2014, the organizing team provided an overview of the program, and how we will be framing the discourse. Today's session (OntologySummit2014 session-03) is the first virtual panel session featured by Track-B, which focuses on "Making use of Ontologies: Tools, Services, and Techniques."     (1O6A)

This session begins with an introduction to the research questions we are interested in; in short: what potential has Big Data for ontology-based services, and how can ontology tools and techniques be scaled to the Semantic Web and Big Data. The first full presentation presents how a concrete environment that has so far integrated a wide range of tools for reasoning with ontologies "in the small" is currently being scaled to the Web. The second presentation showcases the potential of linking Big Data to ontologies in the case of IBM's Watson natural language question answering engine. The third presentation reviews OWL from the perspective of engineering knowledge-rich systems and discusses alternative modeling techniques.     (1O6B)

After the panelists briefings, there will be time for Q&A and an open discussion among the panel and all participants.     (1O6C)

See more details at: OntologySummit2014 (homepage for this summit)     (1O6D)

Briefings     (1O7)

  • Professor TillMossakowski (University of Magdeburg) - "Challenges in Scaling Tools for Ontologies to the Semantic Web: Experiences with Hets and OntoHub" ... slides     (1O7A)
    • Abstract: We present experiences with two tools that we develop: 1) Hets, a tool for parsing, static analysis and proof management of ontologies formulated in various languages, and 2) Ontohub, a web-based ontology repository, which uses Hets as a backend. We discuss challenges of the semantic web in this context, like use of IRIs, linked data and large amount of data.     (1O7A1)
  • Dr. ChrisWelty (IBM Research) - "Semantic Technology in Watson" ... slides     (1O7B)
    • Abstract: In this talk I will cover the ways in which semantic technology and linked data helped the Watson system to win at Jeopardy, not by containing answers to questions, but by making the system better at matching two passages.     (1O7B1)
  • Professor AlanRector (University of Manchester) - "Axioms & Templates: Distinctions & Transformations amongst Ontologies, Frames, & Information Models �� or �� OWL, UML, and Frames" ... slides     (1O7C)
    • Abstract: The relationships between "ontologies", knowledge bases, and information models �� and correspondingly between OWL / Description Logics, frames and UML �� remains confusing to many developers. Understanding which to use when and developing effective hybrid systems that exploit the potential synergies requires clarifying key distinctions: between ontology, background knowledge, and information models; between axiom-based and template-based systems; and between logical definitions and queries. As a step towards a more coordinated approach to knowledge-rich systems and a platform for incorporating additional technologies, we propose factoring systems into ��ontology (narrow sense)��, the rest of the "background knowledge base", and the "information model", with clear distinctions, mutual derivations and interfaces amongst them and clear understanding of the semantics and limitations of each.     (1O7C1)

Agenda     (1P)

OntologySummit2014 session-02 Track-B: Making use of Ontologies: Tools, Services, and Techniques - I     (1P1)

Session Format: this is a virtual session conducted over an augmented conference call     (1P2)

Proceedings     (1Q)

Please refer to the above     (1Q1)

IM Chat Transcript captured during the session    (1Q2)

see raw transcript here.     (1Q2A)

(for better clarity, the version below is a re-organized and lightly edited chat-transcript.)     (1Q2B)

Participants are welcome to make light edits to their own contributions as they see fit.     (1Q2C)

-- begin in-session chat-transcript --     (1Q2D)

Chat transcript from room: summit_20140130     (1Q2E)

2014-01-30 GMT-08:00 [PST]     (1Q2F)

[8:50] Peter P. Yim: Welcome to the     (1Q2G)

Ontology Summit 2014 session-03 Track-B: Making use of Ontologies: Tools, Services, and Techniques - I - Thu 2014-01-30     (1Q2H)

Summit Theme: Summit Theme: Ontology Summit 2014: "Big Data and Semantic Web Meet Applied Ontology"     (1Q2I)

Session Topic: Track-B: Making use of Ontologies: Tools, Services, and Techniques - I     (1Q2J)

Session Co-chairs: Dr. Christoph Lange (University of Bonn / Fraunhofer IAIS), Professor Alan Rector (University of Manchester)     (1Q2K)

Briefings:     (1Q2L)

to the Semantic Web: Experiences with Hets and OntoHub"     (1Q2N)

Transformations amongst Ontologies, Frames, & Information Models - or - OWL, UML, and Frames"     (1Q2Q)

Logistics:     (1Q2R)

  • (if you haven't already done so) please click on "settings" (top center) and morph from "anonymous" to your RealName     (1Q2T)
  • Mute control (phone keypad): *7 to un-mute ... *6 to mute     (1Q2U)

(i.e. even if it says it is "offline," you should still be able to connect to it.)     (1Q2X)

    • if you are using skype and the connection to "joinconference" is not holding up, try using (your favorite POTS or     (1Q2Y1)

VoIP line, etc.) either your phone, skype-out or google-voice and call the US dial-in number: +1 (206) 402-0100     (1Q2Z)

... when prompted enter Conference ID: 141184#     (1Q2AA)

  • when posting in this Chat-room, kindly observe the following ...     (1Q2AE)
    • whenever a name is used, please use the full WikiWord name format (every time you don't, some volunteer will have to make an edit afterwards)     (1Q2AF1)

... rather than "that's great!" as the latter would mean very little in the archives.)     (1Q2AH)

the time-stamp (in PST) of his/her post that you are responding to (e.g. "@JaneDoe [11:09] - I agree, but, ...")     (1Q2AJ)

Proceedings     (1Q2AU)

[8:59] anonymous morphed into Marcia Zeng     (1Q2AV)

[9:18] anonymous morphed into Chris Welty (1)     (1Q2AW)

[9:18] Chris Welty (1) morphed into Chris Welty     (1Q2AX)

[9:23] Peter P. Yim: Hi Chris, Hi Alan, Hi Oliver     (1Q2AZ)

[9:23] Chris Welty: hi peter     (1Q2AAA)

[9:23] Chris Welty: anything i need to do?     (1Q2AAB)

[9:25] Chris Welty: is it preferable for me to join by skype or phone?     (1Q2AAC)

[9:27] Peter P. Yim: Yes, Chris ... please use a land-line if you can     (1Q2AAD)

[9:28] GaryBergCross: Settings can also be used to show timestamps so we can indicate what time the     (1Q2AAE)

comment we are responding to was made. It helps tracking conversation threads.     (1Q2AAF)

[9:29] anonymous1 morphed into Les Morgan     (1Q2AAG)

[9:30] anonymous morphed into Carmen Chui     (1Q2AAH)

[9:30] anonymous morphed into JeffCox     (1Q2AAI)

[9:30] Alan Rector (2) morphed into Alan Rector     (1Q2AAK)

[9:32] anonymous1 morphed into Earl Glynn     (1Q2AAL)

[9:32] anonymous morphed into Mark Fox     (1Q2AAM)

[9:32] anonymous morphed into Julien Corman     (1Q2AAN)

- [9:32] Amanda Vizedom: Peter, your instructions are currently very hard to hear over background white-noise     (1Q2AAO)

- [9:33] Amanda Vizedom: white-noise now gone     (1Q2AAP)

[9:34] anonymous1 morphed into PEM     (1Q2AAQ)

[9:34] Peter P. Yim: == Christoph Lange starts the session on behalf of the Track-B session co-champions     (1Q2AAR)

[9:37] anonymous morphed into Aleksandra Sojic     (1Q2AAT)

[9:38] anonymous1 morphed into Ondrej Zamazal     (1Q2AAU)

[9:38] anonymous2 morphed into Tim Darr     (1Q2AAV)

[9:39] anonymous morphed into Todd Schneider     (1Q2AAW)

[9:40] anonymous morphed into Conrad Beaulieu     (1Q2AAX)

[9:40] PEM morphed into Peter Midford     (1Q2AAY)

- [9:41] Peter P. Yim: @PEM ... kindly morph into your real name (in WikiWord format, preferably) for attribution purposes     (1Q2AAZ)

- [9:41] Peter P. Yim: @PeterMidford ... thank you (you beat me to it!)     (1Q2AAAA)

[9:43] anonymous morphed into Dennis Pierson     (1Q2AAAC)

[9:43] Peter P. Yim: @Christoph ... there are about 10 people on the conference bridge (voice) who are     (1Q2AAAD)

not in the chat-room yet ... in between speakers, please prompt them to join us in the chat-room too     (1Q2AAAE)

(see details at the top of the session page)     (1Q2AAAF)

[9:44] Christoph Lange: @PeterYim: OK, will do ASAP     (1Q2AAAG)

[9:43] anonymous morphed into Lamar Henderson     (1Q2AAAH)

- [9:47] Peter P. Yim: ... on slide#11 now     (1Q2AAAI)

[9:47] Christoph Lange: ref. AlanBundy, the ontology researcher who Till Mossakowski mentioned on     (1Q2AAAJ)

[9:48] anonymous morphed into Torsten Hahmann     (1Q2AAAL)

[9:56] anonymous morphed into AbhayKashyap     (1Q2AAAM)

- [9:52] Amanda Vizedom: on slide 14 now     (1Q2AAAO)

[9:53] Jens Ortmann: what does MMT stand for?     (1Q2AAAP)

[9:54] Christoph Lange: re:MMT (slide#14) Module System for Mathematical Theories:     (1Q2AAAQ)

[9:54] Jens Ortmann: ok great thank you!     (1Q2AAAS)

[9:55] Till Mossakowski: (slide#15) correction, url should be:     (1Q2AAAT)

the CLIF ontology in an XML format, not an XML-serialization of the axioms.     (1Q2AAAW)

[9:58] anonymous morphed into Matthew Lange     (1Q2AAAX)

[9:59] Christoph Lange: slide#16: OOPS Ontology Pitfall Scanner     (1Q2AAAY)

[10:00] Maria Poveda: you can use that is independent of the server it     (1Q2AAAAB)

is installed in     (1Q2AAAAC)

[9:59] Maria Poveda: :-/ please let me know every time you have problems with OOPS! services     (1Q2AAAAD)

[10:00] Christoph Lange: In fact Maria Poveda will present in our 13 March session     (1Q2AAAAE)

[9:59] GaryBergCross: @Till Great connection to the semantic content reuse topic of Track A.     (1Q2AAAAF)

[10:03] GaryBergCross: @Till when you get a chance can you provide some more references/links to the     (1Q2AAAAG)

tools and technology you mentioned. We can eventually get these into our library too...     (1Q2AAAAH)

[10:01] anonymous morphed into GarrettClarke     (1Q2AAAAJ)

[10:02] anonymous morphed into Lamar Henderson     (1Q2AAAAK)

[10:04] Ram D. Sriram: Worth looking at for "BIG ONTOLOGIES"     (1Q2AAAAL)

[10:05] Maria Poveda: @TillMossakowski do you know ? it is for     (1Q2AAAAM)

getting the key concepts from an ontology, it might be a first step for the summarization     (1Q2AAAAN)

[10:05] Maria Poveda: sorry, for splitting     (1Q2AAAAO)

[10:05] Till Mossakowski: thanks, I do not know it, will have a look     (1Q2AAAAP)

[10:06] Maria Poveda: there are also plugins for modularization     (1Q2AAAAQ)

[10:07] Christoph Lange: @MariaPoveda: I assume that most of these modules are specific to OWL, right?     (1Q2AAAAT)

[10:13] Amanda Vizedom: @MariaPoveda, am I right in recalling that the NeOn work is specifically for DL?     (1Q2AAAAV)

Or has it expanded?     (1Q2AAAAW)

[10:16] Maria Poveda: @AmandaVizedom I'm not 100% sure ( :( ) but I think you are right     (1Q2AAAAX)

[10:16] Till Mossakowski: I think that NeOn also covers F-logic.     (1Q2AAAAY)

[10:21] Maria Poveda: sorry, I can't find any information about it, my experience with NeOn was only about OWL     (1Q2AAAAZ)

[10:24] Alan Rector: Actually NeOn is at least as much about F-Logic as OWL, and supports a number of     (1Q2AAAAAA)

different paradigms. My link is Enrico Motta at the Open University for details e.motta [at]     (1Q2AAAAAB)

[10:03] Peter P. Yim: == Chris Welty presenting ...     (1Q2AAAAAC)

[10:28] Christoph Lange: important background info by Chris Welty about slide#17: the average named     (1Q2AAAAAD)

entity refers to 5 distinct things     (1Q2AAAAAE)

[10:28] Alan Rector: For modularization, see also the modularization tools at     (1Q2AAAAAF) There is a whole subfield on how to break OWL ontologies down into modules,     (1Q2AAAAAG)

where "module" is used explicitly as meaning a subontology for a "signature" - i.e. a set of entity     (1Q2AAAAAH)

symbols - such that all inferences amongst the members of the signature that would be made in the     (1Q2AAAAAI)

entire ontology will be made in the sub-ontology/module.     (1Q2AAAAAJ)

[10:30] Amanda Vizedom: for @ChrisWelty: <laughter at the empty slide#25>     (1Q2AAAAAK)

[10:31] Christine Kapp: @ChrisWelty: I'm sure it was just white font <more laughter>     (1Q2AAAAAL)

[10:31] Peter P. Yim: re: slide#25 not showing up properly in the pdf version ... I have now posted     (1Q2AAAAAM)

ChrisWelty's original version in ppsx -     (1Q2AAAAAN)

[11:16] Peter P. Yim: @ChrisWelty [10:30] and All, I have made an attempt to correct the problematic pdf     (1Q2AAAAAP)

conversion of your (Welty) slides, and have swapped that in ... slides 17, 22 & 25 now shows the     (1Q2AAAAAQ)

correct image in the [2-Welty] slide deck now     (1Q2AAAAAR)

[10:33] Amanda Vizedom: "Part of system is understanding just how complete or incomplete a source is     (1Q2AAAAAT)

when it comes to providing a certain type of evidence" - @ChrisWelty, discussing slide 26. I     (1Q2AAAAAU)

appreciate this meta-knowledge use; it is so critical for useful info systems of many types.     (1Q2AAAAAV)

- [10:33] Chris Welty stepping out for 2 mins for a bio-break     (1Q2AAAAAW)

[10:40] GenZou: @ChrisWelty: What do you think are the advantages and disadvantages of converting     (1Q2AAAAAY)

natural language queries to formal queries and answer them by reasoning? Why did not Watson also use     (1Q2AAAAAZ)

it as one option to get answers?     (1Q2AAAAAAA)

[10:42] Chris Welty: converting nlp to logic is impossible to do reliably, and the knowledge needed     (1Q2AAAAAAB)

to answer is not represented in logic, its in text     (1Q2AAAAAAC)

[10:49] GenZou: @ChrisWelty: IC. Does Watson use any other kinds of ontological reasoning besides     (1Q2AAAAAAD)

spatial reasoning and temporal reasoning to score the answers or for other tasks?     (1Q2AAAAAAE)

[10:33] Peter P. Yim: == Alan Rector presenting ...     (1Q2AAAAAAF)

[10:37] Christoph Lange: Alan Rector said about slide#3 that he works with "medium" rather than "big"     (1Q2AAAAAAG)

data (ontologies up to 1 million classes)     (1Q2AAAAAAH)

[10:38] Matthew Lange: Does anyone have a reference to the ICD-9/10 and modifications, which outlines     (1Q2AAAAAAI)

the changes @AlanRector is speaking of?     (1Q2AAAAAAJ)

[10:44] Maria Poveda: @MatthewLange I was not here when he referred to ICD-9/10, could be this     (1Q2AAAAAAK)

[10:44] Tim Finin: +1 for Ontology != KB     (1Q2AAAAAAM)

[10:45] anonymous1 morphed into Bart Gajderowicz     (1Q2AAAAAAN)

[10:46] Christoph Lange: @MatthewLange, @MariaPoveda: I recall there were some publications on     (1Q2AAAAAAO)

formalising the ICD in OWL; was it this one? Manuel Moeller, Michael Sintek, Ralf Biedert, Patrick     (1Q2AAAAAAP)

Ernst, Andreas Dengel, Daniel Sonntag: Representing the International Classification of Diseases     (1Q2AAAAAAQ)

[11:03] Matthew Lange: @ChristophLange thanks for the link, but I was referring not to formalization     (1Q2AAAAAAS)

of ICD into OWL, but to the United states specific modifications to ICD that cast a wider, and     (1Q2AAAAAAT)

deeper net for US-specific things (like the NASA astronaut example...) @AlanRector, could you please     (1Q2AAAAAAU)

provide a reference when you are done speaking?     (1Q2AAAAAAV)

[10:47] Amanda Vizedom: Slide #7 seems to me to be a red herring. I would argue that one of those is     (1Q2AAAAAAW)

a confusion between mental objects and formal models, the other is a confusion between the reality     (1Q2AAAAAAX)

and the model. The latter is slightly mitigated by accepting the idea of contextualization by     (1Q2AAAAAAY)

application requirements, but that is not the "original" philosophical meaning (it's closer to the     (1Q2AAAAAAZ)

idea of a scientific model in philosophy of science).     (1Q2AAAAAAAA)

[10:47] Till Mossakowski: Isn't "Pneumonia may be caused by bacteria" also universal knowledge, but     (1Q2AAAAAAAB)

the point is that it cannot be axiomatized in OWL, but needs a modal logic?     (1Q2AAAAAAAC)

[10:53] Amanda Vizedom: @AlanRector, slide #10: at least some of this seems to be about, or dependent     (1Q2AAAAAAAD)

on, particular representation choices (for example, the idea that template statements involve     (1Q2AAAAAAAE)

primitive concepts only), even within the range of ontology languages. Your intro to it, however,     (1Q2AAAAAAAF)

gave me the impression that you were trying to say something about types of information represented.     (1Q2AAAAAAAG)

Can you explain?     (1Q2AAAAAAAH)

[10:56] Amanda Vizedom: Alan Rector, slide 11: quite true, though it's also true that in many     (1Q2AAAAAAAJ)

operational spaces, information artifacts are some of the things in the domain, and there may be a     (1Q2AAAAAAAK)

need to represent our understanding of both some kinds of information artifacts and the things those     (1Q2AAAAAAAL)

information artifacts are about. Problems come, I think, when people aren't really aware of which     (1Q2AAAAAAAM)

they are doing when.     (1Q2AAAAAAAN)

[11:01] Andrea Westerinen: Slide #14, Although non-standard, there are reasoners/stores that do     (1Q2AAAAAAAO)

integrity constraint checking via axioms (e.g., Stardog). This distinction was valuable.     (1Q2AAAAAAAP)

[11:02] Amanda Vizedom: @AlanRector slide 14: This point about OWL domain and range constraints not     (1Q2AAAAAAAQ)

really being constraints (but rather axioms from which inferences can be drawn) is a such an     (1Q2AAAAAAAR)

important point, and so insufficiently understood by many doing OWL modeling. IME (in my     (1Q2AAAAAAAS)

experience), many people who do appreciate it end up putting their constraints into SPARQL queries,     (1Q2AAAAAAAT)

losing any declarative representation of constraint relationship. Is that also what you see?     (1Q2AAAAAAAU)

[11:05] Amanda Vizedom: @AlanRector, when done speaking, will you provide a reference for the Motik paper?     (1Q2AAAAAAAV)

[11:11] anonymous morphed into Lamar Henderson     (1Q2AAAAAAAY)

[11:12] Chris Welty: I have a hard stop at 14:30 EST (in ~20 mins)     (1Q2AAAAAAAZ)

[11:14] GaryBergCross: @Alan, when you get a chance could you say a bit more about the tools you use     (1Q2AAAAAAAAA)

or are interested in?     (1Q2AAAAAAAAB)

[11:18] Alan Rector: @GaryBergCross - as a quick caricature, the sort of tools I'd like to see is a     (1Q2AAAAAAAAC)

variant of Protege or the Neon or of a UML editor that expressed things in ways familiar to users     (1Q2AAAAAAAAD)

but then translated them into something like the representation in my presentation - typically     (1Q2AAAAAAAAE)

generating half-a-dozen axioms for each visible statement as seen by the user.     (1Q2AAAAAAAAF)

[11:19] GaryBergCross: Alan Thank you. Do you think that controlled natural language tools can play     (1Q2AAAAAAAAG)

a role in getting started on KBs?     (1Q2AAAAAAAAH)

[11:14] Peter P. Yim: == Q & A and Open Discussion ...     (1Q2AAAAAAAAI)

[11:14] Peter P. Yim: Christoph Lange - our focus: Ontology Summit 2014: "Big Data and Semantic Web Meet     (1Q2AAAAAAAAJ)

Applied Ontology" - Track-B: Making use of Ontologies: Tools, Services, and Techniques     (1Q2AAAAAAAAK)

[11:15] Christoph Lange: "big picture question": Alan Rector asked the question whether "ontology" is     (1Q2AAAAAAAAL)

the same as "knowledge representation". Now from Watson it seems that offering knowledge-rich     (1Q2AAAAAAAAM)

services doesn't need ontologies or ontology languages in a traditional sense. On the other hand     (1Q2AAAAAAAAN)

there is a lot of work on improving ontology languages, as we heard from Till Mossakowski, and there     (1Q2AAAAAAAAO)

are better ways of using OWL, as we heard from Alan. So let me ask: On the Web of Data, are     (1Q2AAAAAAAAP)

ontologies and ontology languages, and tools and techniques for them, are they still relevant?     (1Q2AAAAAAAAQ)

[11:15] Chris Welty: was the question directed at a particular person?     (1Q2AAAAAAAAR)

[11:15] Mike Bennett: Surely "ontology" is a heteronym - it means both of the things stated (a     (1Q2AAAAAAAAS)

formal, decidable resource, and a formal representation of some business concepts).     (1Q2AAAAAAAAT)

[11:16] Amanda Vizedom: @AlanRector: re slide 23 and compositionality - to me, this is one issue that     (1Q2AAAAAAAAU)

makes me miss having functions (including those that result in a denotational term with a defined     (1Q2AAAAAAAAV)

relationship to their arguments) in an ontology language. Thoughts?     (1Q2AAAAAAAAW)

[11:17] GaryBergCross: I took part of Alan's presentation to be (in a sense) that things like OWL     (1Q2AAAAAAAAX)

ontologies with axioms are relevant but not sufficient.     (1Q2AAAAAAAAY)

- [11:20] Till Mossakowski: sorry, just have lost my Skype connection when you asked your question, Christoph     (1Q2AAAAAAAAZ)

[11:21] Christoph Lange: @TillMossakowski: my question was, as you certainly believe in the relevance     (1Q2AAAAAAAAAA)

of (formal) ontology languages, whether you can imagine applications powered by big data, which the     (1Q2AAAAAAAAAB)

integration of ontology languages enables     (1Q2AAAAAAAAAC)

[11:21] GaryBergCross: @ChristophLange +1 on your job of asking interesting, generative and relevant     (1Q2AAAAAAAAAD)

questions to our speakers.     (1Q2AAAAAAAAAE)

[11:25] Amanda Vizedom: @OliverKutz, perhaps it would be appropriate to mention the summit OntoHub     (1Q2AAAAAAAAAF)

here, as somewhere Summit participants could go to try out these tools.     (1Q2AAAAAAAAAG)

[11:25] GaryBergCross: Isn't there a Protege plug-in for UML? Seems I heard of this.     (1Q2AAAAAAAAAH)

[11:25] Till Mossakowski: I would be interested...     (1Q2AAAAAAAAAI)

[11:27] GaryBergCross: My [11:25] comment "The UML back-end plug-in provides an import and export     (1Q2AAAAAAAAAJ)

mechanism between the Protege knowledge model and the object-oriented modeling language UML. see     (1Q2AAAAAAAAAK)

[11:26] Peter Midford: @GaryBergCross - yes, but I think it is for Protege Frames, not the same as OWL.     (1Q2AAAAAAAAAM)

[11:26] Mike Bennett: Re: Making OWL and UML inter-operable: is this because UML provides a better     (1Q2AAAAAAAAAN)

means of providing visualization to business domain folks, or is it because you actually need a     (1Q2AAAAAAAAAO)

model in the OO formalism of UML? If it's the former, why not use the ODM profile which lets you     (1Q2AAAAAAAAAP)

render OWL constructs in a UML tool?     (1Q2AAAAAAAAAQ)

[11:27] Till Mossakowski: it is because OWL is used to ontological modeling, and UML for software engineering     (1Q2AAAAAAAAAR)

[11:27] Till Mossakowski: these are two related but different things (I mean ontology and software engineering)     (1Q2AAAAAAAAAS)

[11:31] Mike Bennett: @Till thanks.     (1Q2AAAAAAAAAT)

[11:27] Eric Chan: Please include Eric Chan (I believe Ken Baclawski will be interested) in the     (1Q2AAAAAAAAAU)

proposed offline discussions on translation between UML and OWL. Ken and I have worked on this for     (1Q2AAAAAAAAAV)


[11:38] Till Mossakowski: @EricChan: works on OWL<->UML     (1Q2AAAAAAAAAX)

[11:39] Mike Bennett: I would also like to be copied in on any UML to OWL mapping activities     (1Q2AAAAAAAAAY)

[11:28] JohnMcClure: my question for Alan Rector is this: please discuss the impact on the vocabulary     (1Q2AAAAAAAAAZ)

of properties, as a result of reifying properties as classes -- does it essentially remove nouns     (1Q2AAAAAAAAAAA)

from the domain of properties, ending with just verbs + prepositions as properties???     (1Q2AAAAAAAAAAB)

[11:28] Amanda Vizedom: @ChrisWelty: is Wikidata being used for Watson at all?     (1Q2AAAAAAAAAAC)

[11:30] Till Mossakowski: @ChrisWelty: but for typing, you use subclass hierarchies, if I remember correctly?     (1Q2AAAAAAAAAAD)

[11:31] Till Mossakowski: and then you could also use inferred subclass hierarchies?     (1Q2AAAAAAAAAAE)

[11:31] GaryBergCross: (referring to MichaelGruninger's reference to "Spock" in his verbal comment     (1Q2AAAAAAAAAAF)

about ChrisWelty's remark) Next IBM advance would be called "Spock"???     (1Q2AAAAAAAAAAG)

[11:32] Michael Grüninger: @GaryBergCross: no, my motto is "What would Spock do?"     (1Q2AAAAAAAAAAH)

[11:32] Ed Bernot: Thanks all!     (1Q2AAAAAAAAAAI)

[11:33] GaryBergCross: @ChristophLange, Thanks again for doing such a great job getting these     (1Q2AAAAAAAAAAJ)

3 speakers and managing the session!     (1Q2AAAAAAAAAAK)

[11:33] Christoph Lange: @PeterYim: Do we have a time limit?     (1Q2AAAAAAAAAAM)

[11:33] Peter P. Yim: feel free to go on for another 5 minutes (10 min. max)     (1Q2AAAAAAAAAAN)

[11:37] Simon Spero: One place where KR and Big Data can be useful can be in aggregating and     (1Q2AAAAAAAAAAO)

classifying instances, so that less data needs to be captured for each data point, and subgroups can     (1Q2AAAAAAAAAAP)

be aggregated to get big enough counts for significance     (1Q2AAAAAAAAAAQ)

[11:40] Simon Spero: For example if one wanted to estimate life times for optical media in real     (1Q2AAAAAAAAAAR)

situations, then some attribute may be constrained by manufacturer (e.g. dye types)     (1Q2AAAAAAAAAAS)

[11:32] Peter P. Yim: Please mark you calendars and reserve this time, every Thursday, for the     (1Q2AAAAAAAAAAT)

Ontology Summit 2014 virtual panel session series.In particular ... Session-04 will be up next     (1Q2AAAAAAAAAAU)

Thursday- Thu 2014.02.06 (same time) - Track C: Overcoming Ontology Engineering Bottlenecks-I -     (1Q2AAAAAAAAAAV)

[11:36] Anatoly Levenchuk: @all Remember about Hackathon event (track E): suggest your project     (1Q2AAAAAAAAAAX)

[11:40] GaryBergCross: Great session and lots to think about. The mail discussion should be useful.     (1Q2AAAAAAAAAAZ)

[11:40] Peter P. Yim: -- session ended: 11:38 am PST --     (1Q2AAAAAAAAAAAA)

-- end of in-session chat-transcript --     (1Q2AAAAAAAAAAAB)

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