Hi Roy & All: I'm no authority either, but it's worthwhile reiforcing Roy's general point regarding the FEA as an outcome of our discussions. That being said and so that I and others can learn from the authorities that contribute their expertise here at ONTAC every day (John, Chris, Arun, Leo, Barry - many thanks), here's the original message ... Ok, Brand tapped me for a presentation on 2/10 at the 4th Semantic Web Conference for EGov and I volunteered to present: "Information Flow in the Federal Enterprise: Representing the FEA Reference Models with Languages and Logics" I skipped the Theories and Models as the title was getting pretty long ... I've been working through an example assuming the FEA reference models would supply the types and tokens. By leveraging the language expressiveness chart from "A Description Logic for Use as the ODM Core" to which I have previously referred, I propose to show with the example and open the discussion around where interpretations between technical components represented as classifications and expressed in UML, Topic Maps, and OWL-DL would either satify or fail to satisfy conditions of soundness and completeness in their local logics. I still have a week or so of formatting and such in LaTex to represent the IF notation, but could I send a copy for comment prior to the presentation ? Also, from below: What reasoner or rules engines are currently available to execute common logic and its derivatives. We've been focusing on DL using Pellet recently and would be interested in learning what alternatives are available. BTW - This message originally went to some weird cc list, so It's a repost. Best wishes,
Rick
office: 202-501-9199 cell: 202-557-1604 "Roy Roebuck" <Roy.Roebuck@xxxxxxxxxxxxx> Sent by: ontac-forum-bounces@xxxxxxxxxxxxxx 01/20/2006 11:10 AMPlease respond to"ONTAC-WG General Discussion"
To "ONTAC-WG General Discussion" <ontac-forum@xxxxxxxxxxxxxx> cc bcc Richard C. Murphy/IAA/CO/GSA/GOV Subject RE: [ontac-dev] RE: [ontac-forum] RE: Shall we start? - sub ( 10)
Hi:
I am not an authority for this group. But to again inform and focus those WG participants outside the Federal Enterprise Architecture community that recently gave rise to the ONTAC WG - the Common Semantic Model that the ONTAC WG's founding authority [i.e., the SICoP (U.S. Federal CIO Council's (CIOC) Architecture and Infrastructure Committee (AIC) Semantic Interoperability Community of Practice)] expects from the COSMO facet of the ONTAC WG effort is a "semantic model" that encompassses U.S. Federal enterprise management and the supporting enterprise architecture efforts and capability, as now bounded by the OMB FEA Assessment Framework, V2, released this month. If the ontology being discussed and "developed" by this WG does not support U.S. Federal Government organizations' efforts to attain Level 5 across the board in that assessment framework, then I submit that it does not need to be part of this discussion. A semantic mechanism to provide interoperability of FEA efforts, metaschema, methodology, and modeling and repository technology is needed - that's all.
Enough philosophy! Let us build something useful for the FEA community, using semantic technologies, quickly! Let us work with tools, not debate the science and philosphical underpinnings of the tools.
Roy
-----Original Message----- From: ontac-forum-bounces@xxxxxxxxxxxxxx [mailto:ontac-forum-bounces@xxxxxxxxxxxxxx] On Behalf Of Azamat Sent: Friday, January 20, 2006 9:56 AM To: ONTAC-WG General Discussion Subject: Re: [ontac-dev] RE: [ontac-forum] RE: Shall we start? - sub (10)
Patrick,
We all know that you are trying to do a good thing. But reading your manifesto is producing more questions than answers. Below just few of them instigated by your folowing basic statements.
[PC] >There have been several proposals in ONTACWG discussion for what might >serve as a the beginnings of a Common Semantic Model. >
Please expound a Common Semantic Model of What?: 1. of Reality, the World, its basic aspects, levels, features, components, factors, or meanings; 2. of human knowledge, its basic features, components, factors, and meanings; 3. or of natural language, its basic namespace composition, structure, features, senses and meanings.
>It is possible that one of the existing upper ontologies could be adopted >as a whole. Thus far there has not been general support for that strategy. >Perhaps the complexity of those systems is not yet balanced by demonstrated >publicly available and impressive applications; the needed motivating >factors may be absent. <
Another question arising is how can you expect something (funding) from the taxonomies telling reasoning applications nothing essential about the real world, existence, being, and reality, its nonlinear complexity, composition, dynamics, aspects, levels, systems, and, especially, (causal ) relationships?
For missing the class of relationships as a basic pillar of reality is missing such significant phenomena as process, causality, order, difference, organization, complexity, hierarchy, structure, control, information, communication, etc. Lack of relational entity as a key denizen of the world is a main reason why neither of the taxonomies imposed can't be used as a standard, nor they can be employed as the complementary parts of a whole.
As a test case, try and adapt any of the ontologies for developing an integrative (ontological) theory of complex nonlinear causal systems. Or try just to imagine any of your proposed entity models for creating the class of reasoning applications dealing with dynamic complexity in nature, mind or society, not speaking of making the modeling agents capable to predict the behavior of the world, its complex nonlinear hierarchical networked systems. Ontology is not a catalogue of categories but a scientific theory of reality, its levels and aspects, composition and properties, states and changes as well as the entity constraining fundamental relationships (downward and upward causality known as part-whole relationships, space-time relationships, causal connections, etc.). There is one rational way to relate the Real World (W) and the Software Computing World (C), via the Unified Framework Ontology (UFO), as the mapping scheme UFO: W arrow C. Since, instead of descriptive ontological
models, we must be after a standard theory of real entities and relationships, their properties and value types as the realistic, prescriptive and predictive ontology intended for scientific, cognitive and linguistic engineering.
>WordNet has also been suggested as a model, but is not itself used for >logical inference.
The WordNet is the most rich and comprehensive lexical taxonomy. You can't do better common semantic model of entity names than logically encompassing the whole content of WordNet, as it has been done in USECS. Only then, having developed the (WordNet) intergrative ontological context, one may
take on the difficult task of automatic processing (building, alligning,
mapping, merging, intergrating, querying, and what not) of domain content (or Web data) with specific reasoning mechanisms and inference rules, thus making all sorts of specific ontological and semantic applications.
Regards, Azamat Abdoullaev http://www.eis.com.cy
----- Original Message ----- From: "Cassidy, Patrick J." <pcassidy@xxxxxxxxx> To: "ONTAC Forum" <ontac-forum@xxxxxxxxxxxxxx> Sent: Friday, January 20, 2006 9:21 AM Subject: FW: [ontac-dev] RE: [ontac-forum] RE: Shall we start? - sub (10)
There is a question from Ken Ewell which I think touches on a topic of broad interest:
>[PC] It will be easier to get agreement, the simpler the core is, but >in order to serve the proposed function of enabling interoperability by >providing a set of concepts with which definitions of complex concepts >can be specified, it will have to have a certain irreducible level of >complexity. Just how complex it can get and still gather a wide range >of acceptance among user communities is not obvious to me. But over >the years I have heard many - actually most - ontologists say that they >would use another representation if there was a good reason to do so. > > [KE] Would those same ontologist choose to interact using a different language? The one that affirms would make for a very interesting, and most likely, enlightening case.
[PC] Actually, yes, if there were any benefit to do so. We have ample precedent of people taking great trouble to learn a natural language which is not their native tongue in order to communicate with others. Every international scientific conference I have attended was conducted in English, and included speakers who obviously were not comfortable with our language, but took the trouble to learn it because it was the medium required to communicate with those they wanted to communicate with. People take a lot of trouble to learn complex programming languages, because there are examples of programs using those languages that do very useful things. Conversely, if one already knows a programming language, it takes a lot more motivation, such as examples of things a new language can do that the old language can't, that will induce people to learn a second language. As far as ontologists go, I will use **any** language that has a large user base and a reasonable number of public sample applications. I have spoken with others having a similar attitude.
The whole game is motivation. Up to this point there has been little if any reason for people to painstakingly learn the details of existing upper ontology systems because (1) they are complex and difficult to learn; (2) they are not used enough for third-party developers to create utilities to make them easier to use and to extend their use; (3) there are few if any publicly available demonstration programs that make it clear that the ontologies will do enough useful things to justify the investment of time in learning them; and (4) since there are few reasoning systems available that already use that ontology, there is mostly no communications benefit right now in taking the time to tune one's own system to use it.
Those who have relatively simple reasoning or representation tasks to perform may take one look at something as complex as Cyc and conclude - perhaps justifiably for the immediate future - that the costs of learning to use it greatly outweigh the benefits. So they make their own, simpler knowledge classification system. What is lost is the potential for interoperability with other systems. But at present it is only a potential. The upper ontologies and the Common Semantic Model, useful in themselves, are only essential when one wants one's reasoning system to interoperate semantically with another's (or one organization's different databases to interact with each other). So a COSMO is **essential** only if you have a sophisticated reasoning system and want to interact with others. Getting to the point where there are enough local practical reasoning systems to begin to gain the enormous benefits of the networking effect via a COSMO is a slow process. When there are few local reasoning systems that need to communicate, the motivation to invest heavily in communication is absent. That is the current situation.
Nevertheless, it should be quite clear to anyone who has taken any time to examine the simpler examples of reasoning with ontologies that the technology will inevitably be extended to provide powerful reasoning systems with broad and very important capabilities. As with a programming language, there is a big difference between developing a small test program and a large and complex operating system. Years of intensive development involving many people may be required. Developing an impressive reasoning system will be, I suspect, more complex than developing an operating system like Windows. But many of the components are available. Predicting the timetable is risky because it depends a lot on a number of factors.
Will people take the time to learn and use a complex upper ontology? Someone else's ontology? Someone else's ontology language? Yes, for the same reasons that they take the time to learn English and Java. When examples are available to demonstrate the benefits of using a new language, they will undertake the effort.
But developing a widely used Common Semantic Model is not quite like anything else that has been done before, and analogies can hide significant differences. Developing applications of ontologies is a more complicated task than developing some simple program in a programming language, and no community speaks ontology as a native language. To develop the "installed user base" that will encourage increasing numbers of people to use, test, and improve a common ontology may have to proceed in incremental steps of increasing complexity. Fortunately, we don't have to get universal agreement, just a large enough base of users to form a self-sustaining community that can share results with a common conceptual language and help it evolve and improve. The process could be greatly accelerated if there were a significant source of funding that could support a large representative group of users and developers oriented to a single ontology, to get a variety of impressive applications and utilities to make the system easy to use. But such funding has not yet materialized. It is possible that some influential organization like Microsoft will decide to create their own version for their own purposes and by monopoly power force the rest of us to use it. Windology anyone?
There is another benefit of a Common Semantic Model beyond immediate use in applications, and that is to serve as a common paradigm of meaning that can help accelerate development of more powerful reasoning systems. Reasoning with contexts will be necessary to control the explosion of inference that will occur with first-order logic on even moderately complex knowledge bases. To meaningfully compare alternative reasoning methods, and learn what tactics work, it will be essential to make comparisons using the same realistically large knowledge base, so that the knowledge variables will be controlled and the reasoning itself form the subject of experiment. The COSMO can perform that function, for any community wishing to perform a comparative evaluation of reasoning methods and to reuse each other's results.
One thing ONTACWG can do to help is to become a community with a Common Semantic Model and develop it in incremental steps. At each stage the investment of time in learning how to use it might be commensurate with the demonstrated or immediately realizable benefits of the model at that stage of development. In this way, those who are not convinced enough of the benefits of complex ontology systems may have less complex systems available that are easier to learn and evaluate. This is a model for development that is propelled by a combination of the complexity of the topic and the absence of direct funding for a broad community effort. Whether it can succeed will depend on whether our volunteer participants will focus on the concrete details of construction and evaluation of the Common Semantic Model in its increasingly complex and increasingly capable stages.
There have been several proposals in ONTACWG discussion for what might serve as a the beginnings of a Common Semantic Model. It is possible that one of the existing upper ontologies could be adopted as a whole. Thus far there has not been general support for that strategy. Perhaps the complexity of those systems is not yet balanced by demonstrated publicly available and impressive applications; the needed motivating factors may be absent. WordNet has also been suggested as a model, but is not itself used for logical inference.
All suggested approaches are welcome. Providing specific computational resources to support an approach will probably increase the chances that other members will take an interest. There are some commercial programs that can be useful, and references to those can be helpful, but if they are expensive it will probably be necessary to provide powerful motivation by specific examples of utility in order to induce others to part with their cash.
Right now the only specific small starter version of a COSMO that has been proposed for ONTACWG is the merged top levels from OpenCyc, SUMO, and DOLCE (with a few elements from BFO and ISO15926), which I put on our site at: http://colab.cim3.net/cgi-bin/wiki.pl?CosmoWG/TopLevel2 . . . and is available in OWL form at:
http://colab.cim3.net/file/work/SICoP/ontac/reference/ProtegeOntologies /COSMOtopOWL03.owl
Discussions about this and related topics are proceeding now within the ONTAC-dev email reflector. to subscribe go to: Pat
Patrick Cassidy MITRE Corporation 260 Industrial Way Eatontown, NJ 07724 Mail Stop: MNJE Phone: 732-578-6340 Cell: 908-565-4053 Fax: 732-578-6012 Email: pcassidy@xxxxxxxxx
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