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Ontology Summit 2014 session-08 Track-A: Common Reusable Semantic Content-II - Thu 2014-03-06     (1)

  • Summit Theme: OntologySummit2014: "Big Data and Semantic Web Meet Applied Ontology"     (1A)
  • Track-A Focus: Common Reusable Semantic Content     (1B)
  • Session Topic: Experiences in Knowledge Sharing: Lessons from research and experience in Big Data, Linked Data and Semantic Web Applications     (1C)

Panelists / Briefings:     (1E)

  • Dr. JohnSowa (VivoMind Intelligence) - "Historical Perspectives: On Problems of Knowledge Sharing" ... slides     (1F)
  • Professor MichelDumontier (Stanford BMIR) - "Tactical Formalization of Linked Open Data" ... slides     (1G)
  • Mr. KingsleyIdehen (OpenLink Software) - "Ontology Driven Data Integration & Big Linked Open Data" ... slides     (1H)

Abstract     (1J)

Experiences in Knowledge Sharing: Lessons from research and experience in Big Data, Linked Data and Semantic Web Applications ... intro slides     (1J1)

This is our 9th Ontology Summit, a joint initiative by Ontolog, NIST, NCOR, NCBO, IAOA & NCO_NITRD with the support of our co-sponsors.     (1J2)

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.     (1J3)

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.     (1J4)

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.     (1J5)

In this session we aim to bring together the lessons learned to date and new insights on the re-use of ontology content. We have three speakers lined up to share their perspectives on ontology re-use in the contexts of knowledge representation and sharing, linked data and semantic web reasoning applications. These presentations will be followed by an open discussion on the considerations and requirements for those wanting to identify and use semantic resources in each of these contexts, and the things to think about when developing ontologies for re-usability.     (1J6)

See more details at: OntologySummit2014 (homepage for this summit)     (1J7)

Briefings     (1J8)

  • Dr. John F. Sowa (VivoMind Intelligence) - "Historical Perspectives: On Problems of Knowledge Sharing" ... slides     (1J8A)
    • Abstract: Documents and libraries written and read by humans have been highly successful for the past three millennia. But differences in languages have been a major obstacle for knowledge sharing among humans. Computer systems are much faster than humans, but much less flexible, tolerant, and knowledgeable. This talk will investigate how we can simplify and enhance knowledge sharing among computers and humans.     (1J8A1)
  • Professor MichelDumontier (Stanford BMIR) - "Tactical Formalization of Linked Open Data" ... slides     (1J8B)
    • Abstract: I will discuss the current challenge of working with "schema-lite" LOD, various strategies to make sense of this data (mappings/community standards), and how we formalize specific parts (in OWL) so they are fit for purpose (deductive reasoning in conjunction with data mining).     (1J8B1)
  • Mr. KingsleyIdehen (OpenLink Software) - "Ontology Driven Data Integration & Big Linked Open Data" ... slides     (1J8C)
    • Abstract: I will discuss how ontologies are being used to address heterogeneous data virtualization. In particular, we will cover: how data across heterogeneous data sources is reconciled using entity relations described in shared ontologies, i.e., what you increasingly find on the Linked Open Data (LOD) and Linked Open Vocabulary (LOV) clouds.     (1J8C1)

Agenda     (1K)

OntologySummit2014 session-08 Track-A: Common Reusable Semantic Content-II     (1K1)

Session Format: this is a virtual session conducted over an augmented conference call     (1K2)

Proceedings     (1L)

Please refer to the above     (1L1)

IM Chat Transcript captured during the session    (1L2)

see raw transcript here.     (1L2A)

(for better clarity, the version below is a re-organized and lightly edited chat-transcript.)     (1L2B)

Participants are welcome to make light edits to their own contributions as they see fit.     (1L2C)

-- begin in-session chat-transcript --     (1L2D)


Chat transcript from room: summit_20140306     (1L2E)

2014-03-06 GMT-08:00 [PST]     (1L2F)


[8:53] Peter P. Yim: Welcome to the     (1L2G)

Ontology Summit 2014 session-08 Track-A: Common Reusable Semantic Content-II - Thu 2014-03-06     (1L2H)

Summit Theme: Summit Theme: Ontology Summit 2014: "Big Data and Semantic Web Meet Applied Ontology"     (1L2I)

Track-A Focus: Common Reusable Semantic Content     (1L2J)

Session Topic: Experiences in Knowledge Sharing: Lessons from research and experience in Big Data, Linked Data and Semantic Web Applications     (1L2K)

Session Co-chairs:     (1L2L)

Logistics:     (1L2T)

  • (if you haven't already done so) please click on "settings" (top center) and morph from "anonymous" to your RealName; also please enable "Show timestamps" while there.     (1L2V)
  • Mute control (phone keypad): *7 to un-mute ... *6 to mute     (1L2W)

(i.e. even if it says it is "offline," you should still be able to connect to it.)     (1L2Z)

VoIP line, etc.) either your phone, skype-out or google-voice and call the US dial-in number: +1 (206) 402-0100     (1L2AB)

... when prompted enter Conference ID: 141184#     (1L2AC)

  • when posting in this Chat-room, kindly observe the following ...     (1L2AG)
    • 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)     (1L2AH1)
    • always provide context (like: "[ref. JaneDoe's slide#12], I think the point about context is great" ... rather than "that's great!"     (1L2AI1)

as the latter would mean very little in the archives.)     (1L2AJ)

the timestamp (in PST) of his/her post that you are responding to (e.g. "@JaneDoe [11:09] - I agree, but, ...")     (1L2AL)

    • use fully qualified url's (include http:// ) without symbols (like punctuations or parentheses, etc.) right before of after that URL     (1L2AM1)

Proceedings     (1L2AV)

[9:19] anonymous morphed into Conrad Beaulieu     (1L2AX)

[9:26] anonymous morphed into Terry Longstreth     (1L2AY)

[9:17] Kingsley Idehen: Just checking the settings     (1L2AZ)

[9:26] Peter P. Yim: Hi Kingsley ... hi, everyone!     (1L2AAA)

[9:26] Mike Bennett: Hi Peter!     (1L2AAB)

[9:27] Ed Bernot: Hi Peter!     (1L2AAC)

[9:28] anonymous morphed into Michel     (1L2AAD)

[9:29] anonymous morphed into Robert Powers     (1L2AAE)

[9:30] Alex Shkotin: What about Skype?     (1L2AAG)

[9:30] Mike Bennett: Hi Alex. Skype joinconference seems to work OK here.     (1L2AAH)

[9:31] anonymous morphed into Naicong Li     (1L2AAJ)

[9:32] anonymous morphed into Andrea Westerinen     (1L2AAK)

[9:34] anonymous morphed into Carmen Chui     (1L2AAL)

[9:34] Robert Powers morphed into Robert Powers     (1L2AAM)

[9:34] GaryBergCross: Michel is on the chat.     (1L2AAO)

[9:36] Robert Powers: Michel, are you on the call?     (1L2AAP)

[9:36] Mike Bennett: Is the Michel on the chat MichelDumontier? If so please can you change it to     (1L2AAQ)

your full name and join us on the phone bridge if you're not already. Many thanks!     (1L2AAR)

[9:37] Michel: hi, just getting off a call     (1L2AAS)

[9:39] Michel morphed into Michel Dumontier     (1L2AAT)

[9:38] GaryBergCross: I sent John F. Sowa an email to see if he is joining us..     (1L2AAV)

[9:39] Matthew Lange: Is the vnc server up?     (1L2AAW)

[9:40] Mike Bennett: Yes the VNC server is up     (1L2AAX)

[9:40] Michel Dumontier: have joined the call     (1L2AAY)

[9:46] GaryBergCross: No answer from the tele #s I have for JohnSowa...so still puzzled.     (1L2AAZ)

[9:47] Peter P. Yim: John F. Sowa is already on the voice line     (1L2AAAA)

[9:48] GaryBergCross: Ok Good .. didn't see him on chat.     (1L2AAAB)

[9:48] Peter P. Yim: we might want to (verbally) prompt him, as well as others who aren't already here,     (1L2AAAC)

to join us in the chat-room     (1L2AAAD)

[9:52] GaryBergCross: Welcome John....     (1L2AAAE)

[9:41] Peter P. Yim: == Mike Bennett starts the session on behalf of Session Co-chairs ... see slides     (1L2AAAF)

[9:41] ... anonymous morphed into Les Morgan     (1L2AAAH)

[9:43] ... anonymous morphed into Bruce Bray     (1L2AAAI)

[9:43] ... anonymous morphed into RichardMcAllister     (1L2AAAJ)

[9:51] anonymous morphed into Cory Casanave     (1L2AAAK)

[9:52] Matthew West: What counts as "small set of semantic content" and what counts as "large set of     (1L2AAAL)

semantic content" on Slide 6 of the introduction?     (1L2AAAM)

[9:55] Andrea Westerinen: @MatthewWest [9:52] "Small" means a design pattern with a few classes and     (1L2AAAN)

relationships. "Large" could be a complete domain or upper ontology or schema.     (1L2AAAO)

[9:56] Simon Spero: @MatthewWest [9:52] : small == can be visualized on an A0 poster : large = (not small)?     (1L2AAAP)

[9:52] GaryBergCross: Welcome John....     (1L2AAAQ)

[9:56] Peter P. Yim: == John F. Sowa presenting ...     (1L2AAAR)

[9:56] ... anonymous morphed into Bobbin Teegarden     (1L2AAAS)

[10:01] GaryBergCross: Lack of Semantic app software not well integrated with mainstream IT is a     (1L2AAAT)

major problem as shown on slide 5.     (1L2AAAU)

[10:03] Anne Thessen: I completely agree with John F. Sowa slide 6 ["We need better tools, interfaces,     (1L2AAAV)

and methodologies ..."]     (1L2AAAW)

[10:04] GaryBergCross: This is a topic for the Tool track to address.     (1L2AAAX)

[10:03] Mike Bennett: ... slide 8     (1L2AAAY)

[10:04] Mike Bennett: ... slide 9     (1L2AAAZ)

[10:04] Mike Bennett: John please call out the slide numbers     (1L2AAAAA)

[10:05] Peter P. Yim: @MikeBennett ... please try to prompt John F. Sowa verbally     (1L2AAAAB)

[10:09] Peter P. Yim: ... on slide#14 now     (1L2AAAAC)

[10:13] Peter P. Yim: ... on slide#16 now     (1L2AAAAD)

[10:13] Amanda Vizedom: Question for @JohnSowa (we are on slide 11, but q applies to this whole range     (1L2AAAAE)

of slides): In my experience, being familiar with the history of logic & these fundamentals is     (1L2AAAAF)

useful in making ontology design/architecture decisions, in recognizing the logical equivalence (or     (1L2AAAAG)

non-) of different representation approaches, and in recognizing certain ontology anti-patterns that     (1L2AAAAH)

correspond to classic logical errors. However, they are no where near enough to ground reusable     (1L2AAAAI)

ontology development. How do you think that understanding these logical representations and patterns     (1L2AAAAJ)

is helpful to overcoming obstacles to reuse?     (1L2AAAAK)

[10:16] Alex Shkotin: @AmandaVizedom, we should not repeat their errors;-)     (1L2AAAAL)

[10:19] GaryBergCross: @AmandaVizedom Great question for John. I hope we get to it in discussion.     (1L2AAAAM)

[10:14] Peter P. Yim: ... on slide#17 now     (1L2AAAAN)

[10:18] ... anonymous morphed into PatrickOBrien     (1L2AAAAO)

[10:18] Peter P. Yim: ... on slide#19 now     (1L2AAAAP)

[10:18] Ali Hashemi: ... (i believe it's slide 21)     (1L2AAAAQ)

[10:19] Peter P. Yim: ... on slide#22 now     (1L2AAAAR)

[10:20] GaryBergCross: John is getting at problems of reusing some well know resources like WordNet.     (1L2AAAAT)

[10:21] Peter P. Yim: ... on slide#28 now [10:21] GaryBergCross: [ ref. slide#29: "Enable subject-matter     (1L2AAAAU)

experts to review, update, and extend their knowledge bases with little or no assistance from IT     (1L2AAAAV)

specialists" ] Uh oh.. getting rid of the KE means unemployment for some of us...     (1L2AAAAW)

[10:22] Cory Casanave: Many (most?) domain experts have no notation, what is the notation of law enforcement?     (1L2AAAAX)

[10:22] Simon Spero: @CoryCasanave: UCR (Uniform Crime Reporting)     (1L2AAAAY)

[10:23] Simon Spero: @CoryCasanave: 10-codes     (1L2AAAAZ)

[10:24] Cory Casanave: @Simon, they do have domain vocabularies - but most lack ways to express them     (1L2AAAAAA)

other than text and spreadsheets     (1L2AAAAAB)

[10:26] Mike Bennett: @CoryCasanave [10:22] if you walk into any conference room there are whiteboard     (1L2AAAAAC)

diagrams with boxes and lines. So presenting subject matter in edges and lines, with textual     (1L2AAAAAD)

annotation, should be a relatively universal SME format.     (1L2AAAAAE)

[10:30] Cory Casanave: @MikeBennett, some people respond to ad-hoc boxes and lines, some don't. Fewer     (1L2AAAAAF)

respond to boxes and lines with any semantic consistency [10:31] Mike Bennett: @CoryCasanave very     (1L2AAAAAG)

true - in any group there are those whose primary modality is visual, and those whose is verbal.     (1L2AAAAAH)

Need spreadsheets / tables / wiki pages for the latter. THe same content needs to be expressable in     (1L2AAAAAI)

[10:36] John F. Sowa: @MikeBennett, I strongly support spreadsheets. That's another example of a     (1L2AAAAAK)

modality that requires almost zero learning to start using effectively.     (1L2AAAAAL)

[10:38] Mike Bennett: @JohnSowa I've seen some very complex SME spreadsheets - but it's their     (1L2AAAAAM)

complexity not ours. I think there's potential in a spreadsheet structure that reflects classes,     (1L2AAAAAN)

properties (with real-world names on the columns, not OWL terms)     (1L2AAAAAO)

[10:41] John F. Sowa: @MikeBennett (and continuation of note to @DennisWisnosky), then I would derive as     (1L2AAAAAP)

much of the knowledge as possible from available data of any kind -- structured and unstructured.     (1L2AAAAAQ)

The primary role of the SME would be to answer questions to help the automated tools work better.     (1L2AAAAAR)

[10:24] Dennis Wisnosky: Why documents feeding the NL Tools. Why not some SIRI?     (1L2AAAAAS)

[10:30] John F. Sowa: @DennisWisnosky, I mentioned documents because the bulk of the knowledge is in     (1L2AAAAAT)

documents. But I would certainly recommend SIRI or similar voice-based tools as an option --     (1L2AAAAAU)

especially for hands-free use by the SMEs.     (1L2AAAAAV)

[10:24] Amanda Vizedom: About @JohnSowa's slide 20: I would (do, have done) argue that the quest for     (1L2AAAAAW)

a complete ontology has been an significant hindrance to the development of reusable ontologies.     (1L2AAAAAX)

Even if it were a complete ontology, to incorporate all of the contextual variation and dependencies     (1L2AAAAAY)

observed in reality, it would be unusable. It would be at least as unusable as a life-sized map.     (1L2AAAAAZ)

Ontologies, like scientific models, need to be circumscribed in order to be usable. But that doesn't     (1L2AAAAAAA)

mean we can't have reuse. IMHO, it does mean we have to do better at making the boundaries and     (1L2AAAAAAB)

emphasis of our ontologies clear and detectable.     (1L2AAAAAAC)

[10:27] John F. Sowa: @Amanda, short answer: what we can learn from history is the requirement that     (1L2AAAAAAD)

tools must be designed for the SMEs to use without additional training. We still need KEs, but not     (1L2AAAAAAE)

in the middle between the SME and the system. There is much more to say, but that's another topic.     (1L2AAAAAAF)

[10:30] Todd Schneider: @JohnSowa, in your assertion that 'systems have been inter-operating for ...'     (1L2AAAAAAG)

many years leaves out the process to get them to inter-operate. The ability to get information (and     (1L2AAAAAAH)

other) systems to inter-operate in a timely and cost effective manner is still a challenge.     (1L2AAAAAAI)

[10:34] John F. Sowa: @ToddSchneider, I agree. Semantics has helped us develop better systems. But more     (1L2AAAAAAJ)

people would use more and better semantics if the learning curve were less steep.     (1L2AAAAAAK)

[10:40] Todd Schneider: @JohnSowa, I agree. If engineers had more training in logic and ontological     (1L2AAAAAAL)

analysis would help in this regard. However, somethings are difficult to understand (e.g., Saharon     (1L2AAAAAAM)

Shelah's book on Classification Theory, Quantum Field Theory). Of course this puts the onus on us to     (1L2AAAAAAN)

help create tools that aid the general user to better apply the techniques of ontology when creating     (1L2AAAAAAO)

[10:35] Dennis Wisnosky: @JohnSowa - you don't discuss the bias of the SME's and the bias of the     (1L2AAAAAAQ)

Knowledge person to bias the KB = ontology. I believe that just as in other domains - e.g.     (1L2AAAAAAR)

manufacturing the only way truth will will-out is to eliminate the human.     (1L2AAAAAAS)

[10:38] John F. Sowa: Dennis, I didn't even have time to mention all my slides. If by "eliminating the     (1L2AAAAAAT)

human" you mean that as much as possible of the knowledge be derived from available resources (Big     (1L2AAAAAAU)

[10:43] Dennis Wisnosky: @JohnSowa - Yes, just saw your last sting and I agree. In addition, first I     (1L2AAAAAAW)

am buying totally that a NL processor takes the place of the knowledge worker = the ontologist,     (1L2AAAAAAX)

maybe. Secondly, I am saying that over time we can build rules into the NL processor that based upon     (1L2AAAAAAY)

the natural laws that you mentioned, as well as the context, etc. throws away that which does not     (1L2AAAAAAZ)

make sense. This may happen in real time, or analyzing what the data store as it is amassed.     (1L2AAAAAAAA)

[10:46] Andrea Westerinen: @DennisWisnosky [10:43] NL processing really only works if it understands     (1L2AAAAAAAB)

the language of the domain of the SME. This is not generic. At this point in time, getting the     (1L2AAAAAAAC)

domain concepts right could be partially automated but definitely needs cleanup and iteration by     (1L2AAAAAAAD)

[10:47] John F. Sowa: I am not advocating full NL understanding. But current tools can derive enough     (1L2AAAAAAAF)

from documents (or speech) to formulate intelligent questions when they need help.     (1L2AAAAAAAG)

[10:48] Andrea Westerinen: @JohnSowa [10:47] That has not been my experience - unless you have     (1L2AAAAAAAH)

knowledge of the domain and its language.     (1L2AAAAAAAI)

[10:48] John F. Sowa: @AndreaWesterinen For examples of the way systems can learn by reading, see     (1L2AAAAAAAJ)

http://www.jfsowa.com/talks/goal7.pdf [10:45] John F. Sowa: @ToddSchneider and @DennisWisnosky, I     (1L2AAAAAAAK)

believe that highly trained experts already know the best way to talk about their field. They should     (1L2AAAAAAAL)

not have to learn any conventions that we want them to use.     (1L2AAAAAAAM)

[11:08] Todd Schneider: @JohnSowa, "highly trained experts already know the best way to talk about     (1L2AAAAAAAN)

their field", but only within their field. If there's a need to communicate outside their field     (1L2AAAAAAAO)

(i.e. inter-operate), then there's a problem. [11:17] John F. Sowa: @ToddSchneider, I agree that many     (1L2AAAAAAAP)

experts don't communicate effectively with people in other fields. But the problem for anybody,     (1L2AAAAAAAQ)

expert or not, to communicate effectively with computers is many orders of magnitude more difficult.     (1L2AAAAAAAR)

[11:16] GaryBergCross: @JohnSowa would you have an issues with the value of formalizing small     (1L2AAAAAAAS)

schemas the way Michel did for the relation between drug disease pathway and gene?     (1L2AAAAAAAT)

[10:31] Amanda Vizedom: @MichelDumontier, very glad to have presentation that starts from deep     (1L2AAAAAAAV)

awareness of how much is out there (as in LOV) and moves through experiences with trying to reuse     (1L2AAAAAAAW)

it. Thanks for contributing this.     (1L2AAAAAAAX)

[10:50] Michel Dumontier: @AmandaVizedom thanks for your comment :)     (1L2AAAAAAAY)

[10:54] Amanda Vizedom: @MichelDumontier, You're welcome. Many are confronting such tactical issues     (1L2AAAAAAAZ)

now, I think. Folks increasingly start with a plan to reuse, but find it nowhere near as simple as     (1L2AAAAAAAAA)

they expected. Gory details of how people manage reuse successfully are valuable!     (1L2AAAAAAAAB)

[10:42] Amanda Vizedom: Something going unstated here wrt this discussion of tools for KE / ontology     (1L2AAAAAAAAC)

development and the question of reusable content / reuse of content. I'm not saying that they are     (1L2AAAAAAAAD)

unrelated, only that the conversation just above (multiple participants) seems to be taking as     (1L2AAAAAAAAE)

obvious what the connection is. Are any of you willing & able to spell that out?     (1L2AAAAAAAAF)

[10:48] GaryBergCross: @MichelDumontier Very nice perspective on a tactical approach to     (1L2AAAAAAAAG)

formalization for specific reuse.     (1L2AAAAAAAAH)

[10:49] Peter P. Yim: @MichelDumontier - for what you are trying to achieve, does limitations of     (1L2AAAAAAAAJ)

expressivity of the ontology language (OWL in your case) come into the picture     (1L2AAAAAAAAK)

[10:52] Michel Dumontier: @PeterYim so far we have been quite happy with OWL for consistency checking     (1L2AAAAAAAAL)

(OWL-DL profile) and query answering (OWL-EL profile)     (1L2AAAAAAAAM)

[10:54] Michel Dumontier: @PeterYim As we look towards more *accurate* representations of source     (1L2AAAAAAAAN)

knowledge, however, may require something else     (1L2AAAAAAAAO)

[10:55] Peter P. Yim: @MichelDumontier, thanks ... what are the "something else" being considered now?     (1L2AAAAAAAAP)

[10:57] Peter P. Yim: Thank you, @MichelDumontier     (1L2AAAAAAAAQ)

[10:57] Michel Dumontier: @PeterYim probabilistic reasoning (from aggregation and evidence type),     (1L2AAAAAAAAR)

non-monotonic reasoning (for inconsistent kbs)     (1L2AAAAAAAAS)

[10:55] GaryBergCross: @MichelDumontier Is the OntoFunc Tool something that might be easily used by     (1L2AAAAAAAAT)

interested parties for finding relations between object and ontology categories in areas other than     (1L2AAAAAAAAU)

[10:57] Michel Dumontier: @GaryBergCross yes. can be used with any terminology.     (1L2AAAAAAAAW)

[10:56] Robert Powers: @MichelDumontier Could category theory/ologs be an answer to the problem of     (1L2AAAAAAAAY)

representation you show in slide 11?     (1L2AAAAAAAAZ)

[11:01] Michel Dumontier: @RobertPowers two factors - initial RDF was minimal (model 1) because     (1L2AAAAAAAAAA)

triple stores didn't scale, and different datasets do not necessarily collect all the data that     (1L2AAAAAAAAAB)

another similar type dataset does. we need a general model for entity-attribute-value pertaining to     (1L2AAAAAAAAAC)

measurements to define standard representations. e.g.     (1L2AAAAAAAAAD)

[11:04] Robert Powers: @MichelDumontier Yes, thx Michel!     (1L2AAAAAAAAAG)

[11:03] Simon Spero: @MichelDumontier OASIS Quantities and Units of Measure Ontology Standard     (1L2AAAAAAAAAH)

[11:06] Andrea Westerinen: @MichelDumontier There is also Quantities, Units, Dimensions and Data     (1L2AAAAAAAAAJ)

Types Ontologies (QUDT) ... http://www.qudt.org/     (1L2AAAAAAAAAK)

[11:22] Michel Dumontier: @AndreaWesterinen @SimonSpero - indeed there are now many standards! but     (1L2AAAAAAAAAL)

[10:49] Matthew West: ... *7 to unmute     (1L2AAAAAAAAAO)

[10:50] Matthew West: ... @Mike - we could hear you.     (1L2AAAAAAAAAQ)

[10:50] Mike Bennett: ... Thanks @Matthew, I thought I had gone missing for a bit :)     (1L2AAAAAAAAAR)

-- example that includes live examples in regards to my session re. ontology driven integration of     (1L2AAAAAAAAAT)

disparate data, across the burgeoning LInked Open Data (LOD) Cloud. A related presentation, in     (1L2AAAAAAAAAU)

regards to understanding what data actually is: http://slidesha.re/1epEyZ1     (1L2AAAAAAAAAV)

[10:57] Peter P. Yim: ... on slide#7 now     (1L2AAAAAAAAAX)

[11:00] GaryBergCross: @KingsleyIdehen Thanks for framing this practical issue of the dilemma for     (1L2AAAAAAAAAY)

LOD folks finding a starting point.     (1L2AAAAAAAAAZ)

[11:02] GaryBergCross: @KingsleyIdehen Some of us start not with a formal ontology or LOD vocabulary     (1L2AAAAAAAAAAA)

but with a "conceptual model" of the domain under consideration.     (1L2AAAAAAAAAAB)

[11:04] Matthew West: ... Apologies, I have to leave.     (1L2AAAAAAAAAAC)

[11:07] Terry Longstreth: @KingsleyIdehen thesis reminds me of a Turing award lecture by Ken Iverson     (1L2AAAAAAAAAAF)

"Notation as a tool of thought", where he argued that the result of a mental process is invfluenced     (1L2AAAAAAAAAAG)

by the medium and means used. Computer Science also went through a period when the most important     (1L2AAAAAAAAAAH)

buzzword was 'design language' which was distinct from but mappable to an implementation method.     (1L2AAAAAAAAAAI)

[11:15] Andrea Westerinen: @TerryLongstreth [11:07] This also is covered in Gerald Weinberg's     (1L2AAAAAAAAAAJ)

Introduction to General Systems Thinking" - in his Laws of Difference and Indifference.     (1L2AAAAAAAAAAK)

[11:09] Mike Bennett: @TerryLongstreth that sounds like the Saphir-Whorff hypothesis in spoken     (1L2AAAAAAAAAAL)

[11:20] Terry Longstreth: @MikeBennett - you're probably right, but I think what Iverson was really     (1L2AAAAAAAAAAN)

talking about was how he used APL as a logical notation beyond programming.     (1L2AAAAAAAAAAO)

[11:14] Amanda Vizedom: @KingsleyIdehen - slides 12-13 are a great example of how some reasoning *is*     (1L2AAAAAAAAAAP)

a key part of making Linked Data effective. Granted, subsumption reasoning is the least disputed,     (1L2AAAAAAAAAAQ)

but it gives a nice, salient example of how even small increments of reasoning and     (1L2AAAAAAAAAAR)

ontology/vocabulary mapping greatly amplify the power of linked data.     (1L2AAAAAAAAAAS)

[11:17] Andrea Westerinen: @KingsleyIdehen, slide 17 - separating the rules from the concepts, and     (1L2AAAAAAAAAAT)

allowing individual reuse of both, is one of the "summary" points from the Track A emails. Thanks!     (1L2AAAAAAAAAAU)

[11:18] Kingsley Idehen: @SimonSpero: no [11:19] Kingsley Idehen: @SimonSpero: it has to be     (1L2AAAAAAAAAAV)

:ClassX owl:equivalentClass :ClassY as the basis for such inference     (1L2AAAAAAAAAAW)

[11:18] Peter P. Yim: @KingsleyIdehen, great talk ... btw, I think the url's on your (pdf version) slide     (1L2AAAAAAAAAAX)

deck are not active ... can you supply an updated version, so I can swap in, please     (1L2AAAAAAAAAAY)

... [slides updated; links are active now =ppy/2014.03.07-10:53 PST]     (1L2AAAAAAAAAAZ)

... all links are accessible from this page     (1L2AAAAAAAAAAAB)

-- foaf:Organization description     (1L2AAAAAAAAAAAD)

-- schemaorg:Organization     (1L2AAAAAAAAAAAF)

[11:18] Simon Spero: @KingsleyIdehen does ":a owl:sameAs foaf:Organization" (virtuso: entail) :a owl:equivalentClass foaf:Organization"     (1L2AAAAAAAAAAAG)

[11:20] Kingsley Idehen: [1] description of foaf:Organization *without inference and reasoning enabled*,     (1L2AAAAAAAAAAAH)

so the relations presented are specific to the aforementioned class.     (1L2AAAAAAAAAAAI)

[11:21] Kingsley Idehen: [2] description of schema.org:Organization *without inference and reasoning enabled*,     (1L2AAAAAAAAAAAJ)

so the relations presented are specific to the aforementioned class .     (1L2AAAAAAAAAAAK)

[11:21] Simon Spero: @KingsleyIdehen: thanks - it's OWL-Full licensed but not OWL-DL     (1L2AAAAAAAAAAAL)

[11:18] Michel Dumontier: ... unavailable for talking at the moment. please post questions.     (1L2AAAAAAAAAAAM)

[11:20] Alex Shkotin: ... It's too late in Moscow:-) Bye, All.     (1L2AAAAAAAAAAAN)

[11:20] Peter P. Yim: == Q & A and Open Discussion ...     (1L2AAAAAAAAAAAP)

[11:23] Cory Casanave: Perhaps the speakers could address context and what statements are valid in     (1L2AAAAAAAAAAAQ)

what situations. Also, for RDF, how do we encode context.     (1L2AAAAAAAAAAAR)

[11:23] Kingsley Idehen: Here are the links with the effect of inference rules:     (1L2AAAAAAAAAAAS)

-- schemaorg:Organization (with instances of foaf:Organization) displayed in the query solution     (1L2AAAAAAAAAAAU)

-- schemaorg:Offers description with instances of goodrelations:Offers (since inference rules are enabled)     (1L2AAAAAAAAAAAW)

[11:26] Kingsley Idehen: [re. AmandaVizedom's verbal question] I don't mind answering this question     (1L2AAAAAAAAAAAX)

[11:33] Mike Bennett: The problem with Facebook "Like" is that it doesn't really mean "Like" (re     (1L2AAAAAAAAAAAY)

Kingsley's description of FB Like in LOD)     (1L2AAAAAAAAAAAZ)

[11:35] Simon Spero: [a data wiki type tool]     (1L2AAAAAAAAAAAAB)

[11:35] Terry Longstreth: I think Facebook's ubiquity has meant the new meaning of Like is now     (1L2AAAAAAAAAAAAC)

authoritative, particularly for non-English speakers     (1L2AAAAAAAAAAAAD)

[11:35] Simon Spero: [in ref to @KingsleyIdehen's points]     (1L2AAAAAAAAAAAAE)

[11:33] Mike Bennett: ... @Peter are we Ok to continue another 5 mins?     (1L2AAAAAAAAAAAAG)

[11:35] Peter P. Yim: ... @MikeBennett, sure, by all mean (we started about 10 min. late)     (1L2AAAAAAAAAAAAH)

[11:37] Mike Bennett: ... Thanks @Peter. We'll aim to wrap up at nn:40     (1L2AAAAAAAAAAAAI)

[11:37] Peter P. Yim: ... great, Mike!     (1L2AAAAAAAAAAAAJ)

[11:38] ... anonymous morphed into Sunday Ojo     (1L2AAAAAAAAAAAAK)

[11:39] Amanda Vizedom: +1 for have a context in which, "when we want to make some information     (1L2AAAAAAAAAAAAL)

contribution, we can see what the impact of that would be" (--@MichelDumontier) and to having     (1L2AAAAAAAAAAAAM)

something like the Linked Data Wiki that @KingsleyIdehen described, so we can see what exists and     (1L2AAAAAAAAAAAAN)

how things are connected, at a granular (not whole ontology) level. [11:39] Kingsley Idehen: The     (1L2AAAAAAAAAAAAO)

likes relation describe via OpenCyc, but part of the LOD cloud: http://bit.ly/YgLgtk     (1L2AAAAAAAAAAAAP)

[11:39] Simon Spero: Data citation support is an important need for research scientists     (1L2AAAAAAAAAAAAQ)

[11:40] Simon Spero: so they can get tenure XP     (1L2AAAAAAAAAAAAR)

[11:49] Simon Spero: @MichelDumontier force11 efforts were the ones I was thinking of; the details     (1L2AAAAAAAAAAAAT)

are a work in progress, but they are making progress     (1L2AAAAAAAAAAAAU)

[11:41] Mike Bennett: Facebook "Like" means "I wish to follow this conversation" and has no     (1L2AAAAAAAAAAAAW)

commonality with sentiment     (1L2AAAAAAAAAAAAX)

[11:42] Peter P. Yim: @ALL: if you are not subscribed to the [ontology-summit] mailing list yet, please     (1L2AAAAAAAAAAAAY)

do so (and participate in the ongoing asynchronous discourse) -     (1L2AAAAAAAAAAAAZ)

[11:43] Peter P. Yim: @ALL: as announced by our Symposium co-chairs, Professor Tim Finin and Dr. Ram     (1L2AAAAAAAAAAAAAB)

Sriram yesterday, our Apr 28~29 Symposium (at NSF in Greater Washington DC) is now open for     (1L2AAAAAAAAAAAAAC)

registration. Please register yourself ASAP, as capacity is limited - see:     (1L2AAAAAAAAAAAAAD)

[11:44] Peter P. Yim: @ALL: Please mark you calendars and reserve this time, every Thursday, for the     (1L2AAAAAAAAAAAAAF)

Ontology Summit 2014 virtual panel session series. In particular ... Session-09 will be up next     (1L2AAAAAAAAAAAAAG)

Thursday - Thu 2014.03.13 - Ontology Summit 2014: "Track B: Making use of Ontologies: Tools, Services,     (1L2AAAAAAAAAAAAAH)

and Techniques - II" *** Please pay special attention to the start-time (9:30am PDT), as this week     (1L2AAAAAAAAAAAAAI)

is among the tricky ones, when N.America is in Summer time, Europe is still in Winter time, and lots     (1L2AAAAAAAAAAAAAJ)

of other regions don't do daylight saving time at all! *** - see developing details at:     (1L2AAAAAAAAAAAAAK)

time-zones will be clearly posted there     (1L2AAAAAAAAAAAAAM)

[11:44] Peter P. Yim: @org-comm members, Reminder to those in the organizing committee, our 8th meeting     (1L2AAAAAAAAAAAAAN)

coming up tomorrow - Fri 2014.03.07 - see:     (1L2AAAAAAAAAAAAAO)

[11:44] Peter P. Yim: Great session ... thank you ALL!     (1L2AAAAAAAAAAAAAQ)

[11:45] Gary Berg-Cross: Thanks all     (1L2AAAAAAAAAAAAAT)

[11:45] Andrea Westerinen: Great talks! Thanks!     (1L2AAAAAAAAAAAAAV)

[11:46] Mike Bennett: Great insights across the whole spectrum of ontology re-use there, I look     (1L2AAAAAAAAAAAAAW)

forward to getting this synthesized into our Track A synthesis, and please continue to chip in via     (1L2AAAAAAAAAAAAAX)

the email and the track community input page.     (1L2AAAAAAAAAAAAAY)

[11:45] Peter P. Yim: -- session ended: 11:42 am PST --     (1L2AAAAAAAAAAAAAZ)

-- end of in-session chat-transcript --     (1L2AAAAAAAAAAAAAAA)

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