ppy/chat-transcript_unedited_20111208c.txt ---------- PeterYim: Welcome to the = OntologySummit2012 (Pre-launch) Community Input and Planning Session - Thu 2011-12-08 = Topic: Refining the ideas around the theme and program for OntologySummit2012 Co-chairs: SteveRay & PeterYim Session page at: http://ontolog.cim3.net/cgi-bin/wiki.pl?ConferenceCall_2011_12_08 Mute control: *7 to un-mute ... *6 to mute Can't find Skype Dial pad? ... it's under the "Call" dropdown menu, select "Show Dial Pad" there . == Preoceedings: == . anonymous morphed into TimWilson anonymous morphed into ChristopherSpottiswoode anonymous morphed into PatCassidy AliHashemi: Is there someone in charge of the Skype "joinconference" id? It appears offline for me. SteveRay: Did you type in the PIN? 141184# AliHashemi: I'm restarting Skype, but i didn't have an option of connecting to joinconference because the contact appeared offline. AliHashemi: Contact appeared online after restart SteveRay: Good news. Hope to hear your voice. PeterYim [added subsequently]: one can actually skype "joinconference" even when it appears to be off-line; at least that works for me every time AliHashemi: 1) Click on the "Call" dropdown menu; 2) Click on "Show Dial Pad"; 3) Enter the pin from the "dial pad" MikeBennett: By the way on the joiconference Skype, at least in one version of Skype it does not display a numeric keypad, thereby making it impossible to type in the conference ID! MikeBennett: Yes, I also failed to read Peter's instructions above. AliHashemi: Ah anonymous morphed into AmandaVizedom anonymous morphed into ElisaKendall anonymous morphed into BoNewman anonymous1 morphed into MartinSerrano anonymous morphed into KenAllgood anonymous morphed into MichaelRiben anonymous morphed into NikolayBorgest anonymous morphed into MichaelRiben JoanneLuciano: Should I be looking/downloading some slides - or is that later. Please post the link here: AliHashemi: http://ontolog.cim3.net/file/work/OntologySummit2012/2011-12-08_OntologySummit2012-pre-launch/OntologySummit2012-pre-launch-brainstorm--SteveRay-PeterYim_20111208.pdf JoanneLuciano: thanks! PeterYim: when in doubt, check the session page - http://ontolog.cim3.net/cgi-bin/wiki.pl?ConferenceCall_2011_12_08 - brief instructions are at the very top now - http://ontolog.cim3.net/cgi-bin/wiki.pl?ConferenceCall_2011_12_08#nid308P JackRing: Six facets of ontology - system engineering. JoanneLuciano: So, how can you know if ontology is helping if there are no metrics in place to evaluate that? JoanneLuciano: by "you" I mean "we" MikeBennett: @Joanne we looked at that for last year's Summit. JoanneLuciano: @Mike -- and? (BTW, I do like addressing Big Data) JackRing: 10X Better, Faster Systems Engineering. AliHashemi: @Joanne - http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2011_ValueMetrics_CommunityInput TimWilson: I have to leave the call soon, but I am very interested in the System Engineering aspects of Ontology as well as Ontology Acquisition, including text analytics. JackRing: Ontology --- Relief from complexity MatthewWest: Sorry I'm late. Struggled to get Skype working. AmandaVizedom: Can someone address how the proposed "Big Data" theme relates to other items on the suggestions page? E.g., is it approximate to Cory's suggestion? BoNewman: as part of either topic I would like to see something that focuses on working with multi-perspective semantics PatCassidy: Ontology in complex systems fits in with my interest in the ability of ontology to support interoperability. Perhaps we may somehow mention the "cloud" as being a place where complex systems may reside or interact? AmandaVizedom: Yup AliHashemi: I think Amanda means this: http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit/Suggestions ? JoanneLuciano: @Ali -- thanks for the link! AmandaVizedom: I'm trying to get a better sense of what is meant by this theme. ChristopherSpottiswoode: @Steve: I would like to congratulate you on both the themes chosen. Each is good, the combination excellent. SteveRay: @Christopher: Thank you. anonymous morphed into HasanSayani BoNewman: Unifying topic - pros and cons of multi-perspective semantics BoNewman: Or simply multi-perspective semantics BoNewman: Background on multi-perspective semantics: Dealing with differences in meaning (semantics) based on individual perspectives can be addressed by either moving to a single shared perspective (ontology) or by expanding the collective ontology to encompass the full richness of the concept. Each has challenges: Developing a shared ontology needs to avoid the pitfalls of reductionism. Expanded or collective ontologies face the challenge of incorporating implicit/tacit aspects that define the individual perspectives. AmandaVizedom: +1 for BoNewman's suggestion. Addressing multiple perspectives is essential for large-scale federation, applications with localization, and anything that involves sharing information across user communities, over time, etc. MikeBennett: +1 here also for multiple perspective semantics. We've been looking at some of this within our efforts but would like to see a broader effort and consensus. Defines archetypal of "simplest possible" concepts which by definition are not local to most of our individual industries. Lots of good ontologies to leverage for such an effort, just show consensus way of using these together e.g. in linked data. KenAllgood: Agree with Bo's topic. The work I'm doing right now in the electronic health record arena is directly dependent upon multiple perspective harmonization within big data federation. AmandaVizedom: What Bo is talking about is critical to federation and to web-like environments - you need to capture rich contextual elements and provenance info also, to be able to preserve meaning of data when crossing context lines. BoNewman: Multi-perspective semantics track application: (1) Big Data, especially when working with aggregates of, and usability across multiple domains is logically subject to the issues associated with multi-perspective semantics. (2) System engineering, especially when dealing a broad spectrum of customers, developers, and stakeholders each with their own perspective, has also experienced problems that could be directly related to issues generated by misaligned multi-perspective semantics. JackRing: A joint Working Group of the International Council on Systems Engineering and International Society for Systems Sciences is pursuing the development of a Unified Ontology for Systems Engineering. This effort is mostly practitioners getting ready for interaction with ontologists. LeoObrst: Per Jack's note: see http://sites.google.com/site/syssciwg/projects/unified-ontology-of-science-systems. PatCassidy: Jack - are the online references to these efforts toward a "unified ontology" PatCassidy: The ability to have a common unifying ontology and multiple perspectives are not mutually exclusive. My conclusions from the past 15 years of ontology discussions is that a common basic ontology can be used to **translate** among all the diverse terminologies, perspectives, belief systems, and applications. The basic ontology should be able to be small enough to be mastered by at least one data developer in each group, who can then serve as the bilingual translator between the local system and the broader group. KenAllgood: @Pat, excellent point, and one which is often missed in discussions around "big, scary, ontologies" in actual system design and engineering. EricChan: I suggest to reach out to "The Society for Design and process Science" http://www.sdpsnet.org/sdps/ as a "partnering community" for the theme on "application of ontology" ... "in transdisciplinary system engineering." MichaelGruninger: do we want to distinguish "systems engineering" from "software engineering"? KenAllgood: How Ontology can address big data issues in federation, harmonization, etc?? AmandaVizedom: I'm still not sure what the two main themes are supposed to be; they are so open to multiple interpretations. AliHashemi: +1 Amanda AmandaVizedom: Depending on how the themes are defined, I can easily see both "semantics from, and across multiple perspectives" and "ontology quality in context" (which we mean specifically to indicate metrics and methods for evaluating fitness for purpose) as tracks under either of the two major themes. But again, each still feels too underspecified for shared understanding and intention, here. AliHashemi: I concur with Amanda. A lot of the "content" items we're discussing could easily fit into both of the themes. Big data _requires_ systems engineering, and the major focus of many system engineering projects these days will be Big Data. The latter (i.e. "Big Data") will have greater cachet with a broader audience though. SteveRay: If we went with "systems engineering", we could break it down into the major components, to include design, validation, testing... and how ontology plays a role in each. JackRing: Ontology, the missing link in systems engineering. ChristopherSpottiswoode: @Jack: yes, that's it! MatthewWest: Systems Engineering and big data meet in big engineering systems. Think of the quantity and complexity of data for e.g. an offshore oil rig, or an aircraft carrier. MatthewWest: @Ali. [@Michael ?] I'm assuming Systems Engineering means hardware systems, or systems with embedded software. What do you mean? AliHashemi: @Matthew, that's one source of confusion for me. Is it restricted to hardware systems, or the more general systems which would encompass applications that will rely on Big Data (say sensor fields), or epidemic tracking etc... It's unclear to me from the theme names. PeterYim: @MatthewWest - I trust we are *not* equating Systems Engineering with hardware systems or embedded system, but rather taking the broader "Systems" definition ... which should include man-machine systems, system-of-systems, etc. ElisaKendall: At the OMG, there have been a number of discussions and some work in the past year for aligning ontology with SysML, which is a UML profile for systems engineering modeling support in UML. JPL, for example, has developed an ontology that allows transformation of SysML models such that they can be reasoned over to identify problems in those models. Given that JPL gets "one shot" at sending systems into space, any capability that can assist in eliminating problems in systems models is incredibly important. If we are talking about ontological support for systems engineering, rather than the engineering of systems supported by ontologies, this is one area we could piggyback on and we could reach out to that community to get their input. PatCassidy: I'm somewhat reluctant to match "systems engineering" with "ontology". Either term may be mysterious to a lot of people, and the combination of specialized terms in a title might well convince all but a few hard-core ontolog participants that it is not relevant to their purposes. JackRing: Ontology enables big data + big function = big valuable societal benefits. ChristopherSpottiswoode: @Jack: Yes, keep it up! PeterYim: personally, I am in favor of using this summit to team ontologists up with system engineers, so "together" this team will be in a much better position to address "big data" problems AliHashemi: +1 to PeterYim's point. On its own, the use of the term Big Data entails greater relevance to the broader technology conversation. KenAllgood: @Peter.. Agree.. That's exactly the direction we might wish to consider to increase the recognition and perceived benefit of an ontology-driven solution BoNewman: I agree with Peter: Ontology as a component of a solution is a much more extendable position than ontology as the solution. KenAllgood: Big Data opportunities are dependent upon the contextual clarity ontologies provide. ToddSchneider: I concur with Peter's approach - Systems Engineering first, then use this to understand how to work with big data. SteveRay: My own personal concerns and opinions: Big Data is a bit more focused, and thus possibly amenable to yield some concrete contribution. One other potential pitfall is that systems engineering as a field of study might come across as an overly academic discussion (although, of course, many industries use systems engineering regularly). JackRing: Ontologies unify general systems thinking and general semantics thereby bridging a long-standing, deep divide in human endeavors. MatthewWest: @Ali My understanding is that those who consider themselves systems engineers in the broadest sense are concerned with the integration of multiple components where those components may include but are not restricted to hardware, software, and people. The main restriction in Systems Engineering is that it is man made. There is an even broader view of systems that would include e.g. ecosystems, but these are not engineered, but are naturally occurring. AliHashemi: One vote for the broader Systems Engineering -- I think a lot of people don't quite wholly understand how ontologies fit into the bigger picture of the actual applications that people are developing. It would be tremendously useful to demonstrate what roles ontologies can play in bigger systems. MatthewWest: We could go for big data with Systems Engineering as a thread, since there is often big data involved in big systems. AmandaVizedom: Following @MatthewWest's comment: Given that understanding of systems engineering, I'm more comfortable that we actually have a focused topic. I also think the inclusion of human components (and therefore factors) is worth emphasizing. ChristopherSpottiswoode: @Leo: But the basis of managing and exploiting Big Data has to reside in system and data architecture, organization and management - all Systems Engineering! ChristopherSpottiswoode: @Leo: ... and Systems Engineering has to cater for Big Data. JackRing: We need a track, if not a theme, on the impact of forthcoming massively parallel hardware on the design of ontologies. The era of full duplex semantic data management is here. ToddSchneider: Fabian, Have you ever had to try to develop a 'big' system? There many problems. ToddSchneider: Fabian, your argument would suggest that there's a bigger payoff for addressing systems engineering. AmandaVizedom: @ToddSchneider -- I think we need more along that line; it wasn't clear to me until Steve's earlier comment that Systems Engineering was being positioned as a problem space here. FabianNeuhaus: @Todd. Hmmm? I tried to argue that a problem driven Summit is more interesting than a discussion about technology ToddSchneider: Fabian, how about the problem of requirements elicitation? JackRing: How about just Big, Evolving Systems EricChan: One caveat: "systems engineering" may not be inclusive enough for scientific disciplines which are not engineering the system but understanding natural phenomenon MatthewWest: There is also the role of ontologies in the engineering of systems. JackRing: The problem of requirements elicitation is the presumption of requirements elicitation. FabianNeuhaus: @Todd. Do you suggest "The problem of requirements elicitation" as a subject for the Summit? ToddSchneider: Fabian, it could be. It's part of systems engineering. FabianNeuhaus: @ Todd. The majority of the organizing committee likes bigger themes. But I personally would have liked a problem on that scale. AmandaVizedom: Following @FabianNeuhaus's comment: I can see "Systems Engineering" as either tool kit or problem space, in contrast to Fabian's view of it as a tool. But I think that the theme isn't focused enough, and is confusing, unless we get very clear on whether we mean SE as tool kit, SE as problem space, or SE as both, possibly paired with ontology as both in a variety of mutually supportive relationships. I think the latter is what Peter is suggesting. But can we scope and focus that well enough? JackRing: let's do "Big Systems" or "Big Intelligent Systems" AliHashemi: @Jack -- do we have the wherewithal to push this term? I agree with the ambiguity around Systems Engineering... It seems like these novel phrases would suffer from the same problem, especially since this summit doesn't exactly have the highest profile. ToddSchneider: +1 for 'Big Systems' (it has a good spin) EricChan: +1 Big Data Systems PeterYim: +1 for "Big Intelligent Systems" ... (and we do BOTH "System Engineering" and "Big Data" under that umbrella) BoNewman: One of the strengths of the ontology domain is that its meaning has not been diluted by an array of alternate terms. The way we name our themes and topics needs to re-enforce who we are rather than dilute the concept AmandaVizedom: Same point about Big data, though -- we would need to focus in more than that. Big data usability? Big data management? It's Big! MartinSerrano: what about as theme Proposal --> Applied Ontologies: Towards bridging the gap between Big Data Services and Systems Engineering BarrySmith: Ontology is already making serious contributions to Big Data on many fronts -- above all genomics, intelligence analysis, ... BarrySmith: Suggested titles: Ontology and Big Data; Ontology and Big Data Systems; Ontology and Big Intelligent Systems AliHashemi: +1 - Ontology and Big Data Systems AmandaVizedom: Please give the choices before asking for votes on each. FabianNeuhaus: @ AmandaVizedom: I agree that scoping would help a lot BoNewman: Suggest those with their "hand up" clear that first before the vote (click on the hand button) JackRing: Intelllgent, scalable systems vs. Big Data vs. Systems Engineering SteveRay: == Please vote for: #1 Systems engineering ... #2 Big systems ... #3 Big data AmandaVizedom: @SteveRay: are these all "Ontology & ## ?" SteveRay: @Amanda: Yes AliHashemi: it show the number beside the Queue ToddSchneider: Current thinking would suggest that solutions to 'big data' requires intelligent systems. Intelligent systems need to be develop in an intelligent fashion. AmandaVizedom: I still am not sure what it ("Big Data") means! I might have voted for it, otherwise. MichaelRiben: @amanda +1 FabianNeuhaus: @ amanda +1 AliHashemi: +1 Amanda MikeBennett: I'm sort of assuming that the stuff we talked about re semantics sharing comes under Big Data but not sure. AmandaVizedom: +1 MikeBennett AliHashemi: can we vote twice? ... [ to which Steve verbally answered: "No" ] AmandaVizedom: But again, my choice between 2 and 3 might flip if I understood them better. MartinSerrano: I can't see a big difference between 2 and 3 PeterYim: == straw votes received: #1 Systems engineering - 3 ... #2 Big systems - 12 ... #3 Big data - 8 JackRing: Please do not use complex. Intelligent or autonomous will attract more attention. ChristopherSpottiswoode: Yes, "intelligent" is easily misconstrued. MartinSerrano: I support the idea of Open Linked Data (Big Data) however Does Big systems come up as a bridging gap ? AliHashemi: That was my understanding for #2... (Big Data Systems) JackRing: Society needs big decisions not just more data MatthewWest: Big Systems is supposed to be something more than just software. MartinSerrano: I understood same, I hope that is the common and general agreement BarrySmith: ... [something - what was it? (please fill in if anyone remembers)] ... AliHashemi: +1 to Barry's suggestion. MichaelRiben: I like Barry's Suggestion +1 AmandaVizedom: Some of the ambiguity, in either case, will probably turn into tracks addressing the variant interpretations. But that increases the risk of being to big/unfocused. BoNewman: good JackRing: Are you selecting themes for what needs to be said or what you all want to say? AmandaVizedom: Big Data -> Big Information AmandaVizedom: Semantically-enabled Big Data Systems FabianNeuhaus: We are now just juggling words. This is not helping to get a focused topic. MatthewWest: In big systems a major use of ontology is in data quality. That is not particularly "smart". AmandaVizedom: A little bird is telling me that "exascale" is the buzzword for "big" now. AmandaVizedom: Semantically-Enabled Exascale Data Systems --> SEEDS MartinSerrano: yeah in +1 in that comment ToddSchneider: There are (too) many examples of 'big' systems that failed to be realized (i.e., that were canceled after too much waste and intermediate failures) due to the complexity involved. The use of ontological practices and ontologies may have helped avoid some of these failures. JackRing: @Todd, quite so. And what made them complex, therefore not viable, was the use of taxonomies, schema and data modeling. MatthewWest: Just stick with Ontology for Big Systems SteveRay: == Please vote now for: #1 Ontology for big ___ systems ... #2 No, to the above MartinSerrano: Ontologies more make sense AmandaVizedom: too undefined for me to vote for either. AmandaVizedom: @Peter: sure, but what's in the "___"? PeterYim: == straw votes received: #1 Ontology for big ___ systems - 17 ... #2 No, to the above - 0 (no serious objections) BoNewman: Good discussion .... need to drop off for another call ... thanks. PeterYim: bye, Bo JackRing: Big Responsive Systems JackRing: Can we address the point of forthcoming, massively parallel hardware? ToddSchneider: Amanda, how about a simple ontology for the possible tracks discussed today? That would then suggest what should be addressed. SteveRay: == Please vote now for: #1: Ontology for Big Systems; #2 Ontology for Big ... Systems SteveRay: #2 Ontology for Big ... Systems reads: "Ontology for Big ..(something).. Systems" - we will have to deal with the "something" in the organizing committee (if this is voted in.) AmandaVizedom: Sounds like a job for Survey Monkey or a Doodle Poll with rapid iterations. JackRing: The Vote button above does that. AmandaVizedom: Ooh, vote button does multiple or order votes. Could do quick paste of all suggestions and vote. PeterYim: we've tried the "vote" button mechanism before, and were a bit challenged, let's just (continue to) use a show of hands (with the "hand" button.) PeterYim: == straw votes received: #1 Ontology for big systems - 10 ... #2 Ontology for Big ..(something).. Systems - 5 PeterYim: == We have a Theme for OntologySummit2012 - "Ontology for Big Systems" JackRing: There will be a track for each 'dot" MikeBennett: Hard to get an idea of what goes in among the dots though. JackRing: Let the tracks nominate the dots MatthewWest: Please suggest something for the dots if you think we should go that way. AliHashemi: "Ontology for Big Data Systems" MichaelRiben: Ali +1 MatthewWest: @Ali, well that could easily be a thread anyway. PeterYim: == Please volunteer: name and facet under the theme that you want to help tackle == JackRing: Track: Implications of forthcoming massively parallel hardware. PeterYim: == please suggest track titles and make any other pertinent suggestions == AmandaVizedom: I will volunteer for a Quality in Context Track (fitness for purpose, evaluation, metrics and metrics) under whichever theme. JackRing: @Amanda, are you including the quality of an ontology? AmandaVizedom: Yes, that's what I mean, thanks for asking. The track I'm suggesting is the theme-focused variant of the topic Joanne and I suggested here:http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit/Suggestions#nid30E4. A better title might be "Ontology Quality in Big System applications" or something like that. Or, "Evaluating Ontologies for Use in Big [X] Systems Applications" KenAllgood: I will volunteer for Ontology in electronic health record/bioinformatics MichaelRiben: idea for track- NoSQL infrastructure and Ontology for Big Data and Cloud systems PatCassidy: I would be willing to champion a track on exploring the use of a common foundation ontology as a translation mechanism (interlingua) among multiple databases or multiple systems - large or small. But if there are no others to make a "track" out of this, I can just present a paper with my views. MikeBennett: I'd like to suggest ontology sharing etc. but don't have the bandwidth to head this up. MatthewWest: If there is interest in a thread on ontology of big engineering systems, I'm happy to contribute. ToddSchneider: How about 'Ontological Analysis in Systems Engineering'? MatthewWest: @Todd That sounds close to what I was suggesting. Happy to merge. ToddSchneider: Matthew, sound good to merge. JackRing: I was volunteering to organize a track on the hardware implications. EricChan: + for aligning dots to tracks, I have Data, Process, Engineered, Multi-disciplinary, MichaelRiben: tract title: Enhancing Big Data Analytics with Ontologies KenAllgood: I'd recommend "information interoperability across federated data" PeterYim: == please suggest: what do we want to see as an outcome of this Summit ... (in particular, what can we say on the Communique)? == JackRing: @Peter, I hope the outcome will be an ontology!! ToddSchneider: Jack, Excellent thought, but an ontology of what? MatthewWest: @Todd - an ontology of systems (broad sense) might be a possibility. JackRing: @Todd, An ontology of benefits of ontology-based systems and decisions. ToddSchneider: Jack, Brilliant! JackRing: Ralph Hodgson produced an ontology-based user interface for Semantic Technology Conference in 2008 or thereabouts. KenAllgood: @Jack.. we could certainly leverage Ralph's work. KenAllgood: "Ontology-driven user experience in big data" AliHashemi: @Steve -- at the end of the last summit, there was a consideration to alongside a Communique, explicitly commit to creating a website for the summit? AliHashemi: I can volunteer, but I definitely won't be able to do it alone. KenAllgood: I could assist Ali in the website AmandaVizedom: I'd like to see a track refining "Big Systems," either focusing down or presenting some branches/subtopics. AmandaVizedom: Track proposal: Use cases / examples? "Use Cases for Ontologies in Big Systems" AmandaVizedom: For that use cases suggestion, I'd imagine that as a track under which we bring in some folks in various domains and/or projects to describe particular cases where ontologies are being brought in to support big systems. PeterYim: @JackRing & AliHashemi ... good point! -- the "tradition" so far is to have a Communique ... therefore additional outcomes (a survey/study; a website; an ontology, etc.) need, first and foremost, leadership and volunteered resources (i.e. people's time and effort) PeterYim: I am in favor of adding "a website" or "an ontology" as the deliverable ... please step up to the plate - we need leadership and volunteers! ToddSchneider: Have to go. Cheers. JackRing: FWIW, I am greatly encouraged by all this. Thank you all for your ideas and energy. Gotta go. TimDarr: I have to go as well ... PeterYim: == Please suggest who else (communities / individuals) we should engage MikeBennett: I'm also working with the OMG though not as much of an expert as Elisa. Happy to make connections. JackRing: @Ken, suggest you contact him at www.topquadrant.com KenAllgood: @Jack.. Already on it. Might also catch him at the next DC Semantic meetup MatthewWest: There is a well known international institute of Systems Engineering INCOSE PeterYim: @Matthew or anyone - can you help engage INCOSE? SteveRay: I could approach some of the NIST folks for an INCOSE connection - no guarantees. KenAllgood: Peter & Steve.. Thanks for bringing this together. AliHashemi: Thanks all. PeterYim: great session ... thanks everyone! AmandaVizedom: Thanks, Peter and Steve! SteveRay: Take care all, and happy holidays. PeterYim: -- session ended: 11:10am PST -- -----------------