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Dear Erick,
It’s worth looking through the Ontology Summit Communiques. My recollection is there is at least some material there that addresses this question, at least indirectly.
Regards
Matthew West
Information Junction
Mobile: +44 750 3385279
Skype: dr.matthew.west
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I sense that somewhere in Borges' Library of Babel there must be book about work on the Ontology of Ontology Ontologies.
Godfrey Rust
Rightscom Limited
www.rightscom.com
Suite 1866, Kemp House, 152 City Road, London, EC1V 2NX.
I sense that somewhere in Borges' Library of Babel there must be book about work on the Ontology of Ontology Ontologies.
Godfrey Rust
Rightscom Limited
www.rightscom.com
Suite 1866, Kemp House, 152 City Road, London, EC1V 2NX.
From: ontolo...@googlegroups.com [mailto:ontolog-forum@googlegroups.com] On Behalf Of Matthew West
Sent: Thursday, May 25, 2017 10:34 AM
To: ontolo...@googlegroups.com
Subject: RE: [ontolog-forum] Types of ontologies?
Dear Erick,
It’s worth looking through the Ontology Summit Communiques. My recollection is there is at least some material there that addresses this question, at least indirectly.
Regards
Matthew West
Information Junction
Mobile: +44 750 3385279
Skype: dr.matthew.west
http://www.informationjunction.co.uk/
https://www.matthew-west.org.uk/
This email originates from Information Junction Ltd. Registered in England and Wales No. 6632177.
Registered office: 8 Ennismore Close, Letchworth Garden City, Hertfordshire, SG6 2SU.
From: ontolo...@googlegroups.com [mailto:ontolog-forum@googlegroups.com] On Behalf Of Erick Antezana
Sent: 23 May 2017 22:05
To: ontolo...@googlegroups.com
Subject: [ontolog-forum] Types of ontologies?
Dear all,
I am sure this question has already been asked long ago; however, I was not able to find any good pointer in the ontolog archives...so here it is (possibly again): could you recommend some documentation/definitions about the types of ontologies?
I typically develop and work on 'domain ontologies' and 'application ontologies' (in the life science arena). To some extent, I have (re)used 'upper level ontologies'... We want to review the way we name and classify those different types of artifacts. Any pointers would be highly appreciated.
I know there could be different classifications, based on specific dimensions such as expressiveness, purpose, coverage, etc. (http://www.springer.com/cda/content/document/cda_downloaddocument/9780857297235-c1.pdf?SGWID=0-0-45-1193345-p174120365). however, I was wondering whether there is any "relatively widely accepted" classification?
thanks,
Erick
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I agree. There are numerous ontologies, but they aren't used by anybody other than ontologists and their students, for the most part.
Still, a typology is used in every software program, and that defines an ontology AFAIC, which can be operationalized by the software during execution. Beyond that lie dragons.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of Frank Guerino
Sent: Thursday, May 25, 2017 10:18 AM
To: Ontolog Forum
Subject: Re: [ontolog-forum] Types of ontologies?
Hi Erick,
I’m certainly interested in an answer to the same question. A few months back, I tried to reverse engineer Ontology Types/Categories by collecting references to numerous ontologies (see third tab in the spreadsheet: https://docs.google.com/spreadsheets/d/1GJRGIg3-i5s93j4bVAA9kAC4u5BGckh4qLfE2932YpE/edit?usp=sharing).
I came to the conclusions that:
1. Just like the Knowledge Management field struggles with the definition of Knowledge, after many decades of trying to define it, the Ontology field still can’t clearly define what an Ontology is.
2. Because there is no clear definition for an ontology, there is no clear standard for consistently/repeatedly developing, representing, labeling, or classifying an ontology.
3. Computer Science has allowed many people to create many different and highly unique constructs/structures that they call Ontologies. Some structures are simpler (e.g. Glossaries and Dictionaries), while others can be quite complex (e.g. Semantic structures that attempt to represent the english language, including terms, tenses, definitions, synonyms, antonyms, direct translations to other languages, relationships to other meaningful constructs, etc.).
Doug,
FWIW, I understand the “domain” of an ontology to be the set of concepts needed to solve some set of problems in some community. And the purpose of the ontology is to solve those problems for that community. Mostly that means you can’t build an ontology for an undefined set of problems.
That said, “accounting” is a “domain” if the community is interested in reasoning about accounting issues, but it is probably inadequate if the concerns stretch to the business area that the accounting activities are supporting. It is likely to be the case that accounting for the retail sales industry will involve retail sales concepts, like inventory, that accounting for manufacturing or healthcare provision takes a different view of, or has no interest in, while they in turn have differents view of equipment management, utilization, and amortization.
The general problem is the same old “conceptual schema for the enterprise” problem. You construct a schema/ontology that covers a certain set of known concerns/applications. A year later, you add two more concerns, and you have to modify the overall schema to eliminate assumptions that are not valid in the larger scope, or to deal with the discovery that you have different views of a common elephant. (The most common problem with the elephant is detailed views vs. aggregate views, which have complex functional relationships that will produce outright inconsistencies if both views are modeled as is.)
To combine independently developed ontologies for your problem area, you have to provide the glue, and sometimes a bit of “field adaptation” (*altering* the off-the-shelf component to fit the use).
Then again, my view of reuse (as distinct from simple ‘use’) of off-the-shelf software has pretty much always been “adapt it to fit”. (One of my colleagues, however, was successful with the approach of “adapt my app to use it.”)
-Ed
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com]
On Behalf Of Doug McDavid
Sent: Thursday, May 25, 2017 9:38 AM
To: ontolog-forum <ontolo...@googlegroups.com>
Subject: Re: [ontolog-forum] Types of ontologies?
Seems like the concept of 'domain' provides a commonly understood element of this meta-ontology being discussed. It even seems, however, that we may harbor multiple referents for what we mean by, let's say, 'ontology domain'. Should we describe domains, how they work, and how they may interrelate?
http://www.informationjunction.co.uk/
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From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of Erick Antezana
Sent: 23 May 2017 22:05
To: ontolo...@googlegroups.com
Subject: [ontolog-forum] Types of ontologies?
Dear all,
I am sure this question has already been asked long ago; however, I was not able to find any good pointer in the ontolog archives...so here it is (possibly again): could you recommend some documentation/definitions about the types of ontologies?
I typically develop and work on 'domain ontologies' and 'application ontologies' (in the life science arena). To some extent, I have (re)used 'upper level ontologies'... We want to review the way we name and classify those different types of artifacts. Any pointers would be highly appreciated.
I know there could be different classifications, based on specific dimensions such as expressiveness, purpose, coverage, etc. (http://www.springer.com/cda/content/document/cda_downloaddocument/9780857297235-c1.pdf?SGWID=0-0-45-1193345-p174120365). however, I was wondering whether there is any "relatively widely accepted" classification?
thanks,
Erick
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Frank,
A type structure (typology) is the tree of type statements in a programming language such as Delphi. The original typology was for Algol 68, which failed miserably in the market. Then Pascal came along with a good tree structured typology. Now, C++, Java, others are using type structures assembled by type statements in the program source.
With the OO insights, type structures expanded slightly. Ada for example had type structures, but didn't directly support OO compartments, until a few extra fillets were baked into the spec.
Serious ontologists hate such things as type structures in programs. Using generic domains such as integer, string, memory block, drives them nuts.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
From:
ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On
Behalf Of Frank Guerino
Sent: Friday, May 26, 2017 7:45 AM
To: Ontolog Forum
Subject: Re: [ontolog-forum] Types of ontologies?
Hi Rich,
--
Thanks for your definition.You wrote: “Serious ontologists hate such things as type structures in programs. Using generic domains such as integer, string, memory block, drives them nuts.”This is funny because all natural languages have both generic and specific domains, too.I always wonder if an aggregated set of source code files for software “X” makes for a better ontology than any intentional ontology I’ve ever seen generated for runtime communications between systems. We’ve spent a tremendous amount of effort trying to create these ontology structures (separate from source code) that computers are expected to reference and/or pass around and use, from application to application. Now, with serverless computing evolving, we’re learning that we can just pass the source code around, including specifications, functional behavior, data, and all. Isn’t this far more powerful than any existing intentionally explicit ontology that has been created, to date?My Best,Frank—Frank Guerino, Managing PartnerThe International Foundation for Information Technology (IF4IT)
http://www.if4it.com
1.908.294.5191 (M)
From: Rich Cooper <metasemantics@englishlogickernel.com>
Reply-To: Ontolog Forum <ontolog-forum@googlegroups.com>
Date: Friday, May 26, 2017 at 12:50 PM
To: Ontolog Forum <ontolog-forum@googlegroups.com>
Subject: RE: [ontolog-forum] Types of ontologies?Frank,
A type structure (typology) is the tree of type statements in a programming language such as Delphi. The original typology was for Algol 68, which failed miserably in the market. Then Pascal came along with a good tree structured typology. Now, C++, Java, others are using type structures assembled by type statements in the program source.
With the OO insights, type structures expanded slightly. Ada for example had type structures, but didn't directly support OO compartments, until a few extra fillets were baked into the spec.
Serious ontologists hate such things as type structures in programs. Using generic domains such as integer, string, memory block, drives them nuts.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
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Frank Guerino wrote:
Isn’t this far more powerful than any existing intentionally explicit ontology that has been created, to date?
In a word, yes.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
http://www.EnglishLogicKernel.com
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of Frank Guerino
Sent: Friday, May 26, 2017 10:55 AM
To: Ontolog Forum
Subject: Re: [ontolog-forum] Types of ontologies?
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Doug,
You wrote:
> Different 'kinds' of domains. Some level of combinatorics.
+1
-Ed
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com]
On Behalf Of Doug McDavid
Sent: Friday, May 26, 2017 5:35 PM
To: ontolog-forum <ontolo...@googlegroups.com>
Subject: Re: [ontolog-forum] Types of ontologies?
Ed, thanks for the response. To pick up on the 'accounting' domain (for those who agree it's not an oxymoron to say 'accounting domain'), let's zero in on a couple of intersections. For instance, I did some work with a wireless telco who did not have customer accounts. But I also worked for several large companies whose ability to have full and distinct customer accounts led to the extremely generic 'party' concept, as in 'party to an agreement'. This is just mentioned as examples of the intersection of domains (professional discipline, industry) yielding different recognized concepts of concern.
Different 'kinds' of domains. Some level of combinatorics.
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Powerful for what purpose? Maybe for the users and operational domain/purpose for whom the software was designed. But if any other entity on the network wants to interact with that software it would be hard-pressed to discover what that implicit, but powerful, ontology might be. The issue I’m concerned with is dynamic discovery and interoperability by/with entities on the network that were unanticipated by the software creator. In some cases, and increasingly with service oriented architecture, software developers make some key subset of their implicit ontology visible and accessible to entities outside their software perimeter. While useful, this still hides a lot of information/services inherent in the software from outside entities. That’s fine if there are legitimate security/privacy reasons for doing so, but it otherwise limits the potential utility of the software in the networked environment.
Hans
Hans, you wrote:
In some cases, and increasingly with service oriented architecture, software developers make some key subset of their implicit ontology visible and accessible to entities outside their software perimeter. While useful, this still hides a lot of information/services inherent in the software from outside entities. That’s fine if there are legitimate security/privacy reasons for doing so, but it otherwise limits the potential utility of the software in the networked environment.
Yes, the products have APIs and URLs that can be referenced. Those objects, classes and actions are supported because the development costs of supporting those objects, classes and actions have been paid. There has been testing done to the level of supporting those functions, ensuring they perform as speced.
But the idea of opening a program suite to people who will reference the internals, not previously designed with sharing in mind beyond the development team, is naïve IMHO, and ignores the development costs (not paid) of making that internal architecture available to the general public.
I disagree for that reason.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
http://www.EnglishLogicKernel.com
Rich,
I agree that there are business model challenges in the general case for explicitly exposing more of any given software/information capability’s internal ontology. But I don’t agree that the developer’s sponsor is in general fully aware of the potential value to others on the network of doing so. That value may be economic or socio-political in nature, and may have advocates who see that value and who are different from the developer’s sponsor. The main challenge is to discover the appropriate business model to best justify the developer investment necessary to release/attain that value (and not necessarily for the general public, but maybe a larger set of potential users/uses/markets than originally envisioned by the developer’s sponsor). But that’s also true of all the discussion on this forum regarding development of domain ontologies or ontologies of ontologies.
Rich,
I agree that there are business model challenges in the general case for explicitly exposing more of any given software/information capability’s internal ontology. But I don’t agree that the developer’s sponsor is in general fully aware of the potential value to others on the network of doing so. That value may be economic or socio-political in nature, and may have advocates who see that value and who are different from the developer’s sponsor. The main challenge is to discover the appropriate business model to best justify the developer investment necessary to release/attain that value (and not necessarily for the general public, but maybe a larger set of potential users/uses/markets than originally envisioned by the developer’s sponsor). But that’s also true of all the discussion on this forum regarding development of domain ontologies or ontologies of ontologies.
Hans
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of Rich Cooper
Sent: Friday, May 26, 2017 9:34 PM
To: ontolo...@googlegroups.com
Subject: RE: [ontolog-forum] Types of ontologies?
Hans, you wrote:
In some cases, and increasingly with service oriented architecture, software developers make some key subset of their implicit ontology visible and accessible to entities outside their software perimeter. While useful, this still hides a lot of information/services inherent in the software from outside entities. That’s fine if there are legitimate security/privacy reasons for doing so, but it otherwise limits the potential utility of the software in the networked environment.
Yes, the products have APIs and URLs that can be referenced. Those objects, classes and actions are supported because the development costs of supporting those objects, classes and actions have been paid. There has been testing done to the level of supporting those functions, ensuring they perform as speced.
But the idea of opening a program suite to people who will reference the internals, not previously designed with sharing in mind beyond the development team, is naïve IMHO, and ignores the development costs (not paid) of making that internal architecture available to the general public.
I disagree for that reason.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
From: ontolo...@googlegroups.com [mailto:ont...@googlegroups.com] On Behalf Of Hans Polzer
Sent: Friday, May 26, 2017 5:58 PM
To: ontolo...@googlegroups.com
Subject: RE: [ontolog-forum] Types of ontologies?Powerful for what purpose? Maybe for the users and operational domain/purpose for whom the software was designed. But if any other entity on the network wants to interact with that software it would be hard-pressed to discover what that implicit, but powerful, ontology might be. The issue I’m concerned with is dynamic discovery and interoperability by/with entities on the network that were unanticipated by the software creator. In some cases, and increasingly with service oriented architecture, software developers make some key subset of their implicit ontology visible and accessible to entities outside their software perimeter. While useful, this still hides a lot of information/services inherent in the software from outside entities. That’s fine if there are legitimate security/privacy reasons for doing so, but it otherwise limits the potential utility of the software in the networked environment.
Hans
From: ontolo...@googlegroups.com [mailto:ont...@googlegroups.com] On Behalf Of Rich Cooper
Sent: Friday, May 26, 2017 6:58 PM
To: ontolo...@googlegroups.com
Subject: RE: [ontolog-forum] Types of ontologies?Frank Guerino wrote:
Isn’t this far more powerful than any existing intentionally explicit ontology that has been created, to date?
In a word, yes.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
From: ontolo...@googlegroups.com [mailto:ontolog-forum@googlegroups.com] On Behalf Of Frank Guerino
Sent: Friday, May 26, 2017 10:55 AM
To: Ontolog Forum
Subject: Re: [ontolog-forum] Types of ontologies?Thanks for your definition.
You wrote: “Serious ontologists hate such things as type structures in programs. Using generic domains such as integer, string, memory block, drives them nuts.”
This is funny because all natural languages have both generic and specific domains, too.
I always wonder if an aggregated set of source code files for software “X” makes for a better ontology than any intentional ontology I’ve ever seen generated for runtime communications between systems. We’ve spent a tremendous amount of effort trying to create these ontology structures (separate from source code) that computers are expected to reference and/or pass around and use, from application to application. Now, with serverless computing evolving, we’re learning that we can just pass the source code around, including specifications, functional behavior, data, and all. Isn’t this far more powerful than any existing intentionally explicit ontology that has been created, to date?
My Best,
Frank
—
Frank Guerino, Managing Partner
The International Foundation for Information Technology (IF4IT)
http://www.if4it.com
1.908.294.5191 (M)
Hans,
I agree that the developer's sponsor (as you describe the capitalist role in this example) very likely does not understand all the repercussions of the internal types, functions, data structures and states. The capitalist wants to maximize returns, and that is best done by expanding marketing along the most profitable lines, while sacrificing anything not in that project directly.
The max return usually is not, definitely not, looking for littler markets that could drain the capital needed to pursue the most profitable markets. If I can grow by 65% in the most profitable line, why would I spend my time trying to also grow 32% in the next most profitable?
All the books teach focus, focus, focus. In the fifties and sixties, conglomerates were all the management rage, but they faded out because they couldn't compete with the singularly focused companies with their accelerators floored.
Michael wrote:
I don't understand how this code sharing technology works but it seems to me that it's inevitable that it would make these kinds of issues exponentially more complicated and risky.
Agreed whole heartedly. People who have not been involved in software engineering don't get to see the 80% of that effort that goes into finding and fixing errors. Even the design of a program suite has to anticipate errors and use exception handlers to recover from errors that have never been encountered before. Exponentially more complicated, more risky, and therefore more expensive than the single layer API.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
http://www.EnglishLogicKernel.com
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of Frank Guerino
Sent: Friday, May 26, 2017 10:55 AM
To: Ontolog Forum
Subject: Re: [ontolog-forum] Types of ontologies?
Thanks for your definition.
You wrote: “Serious ontologists hate such things as type structures in programs. Using generic domains such as integer, string, memory block, drives them nuts.”
This is funny because all natural languages have both generic and specific domains, too.
I always wonder if an aggregated set of source code files for software “X” makes for a better ontology than any intentional ontology I’ve ever seen generated for runtime communications between systems. We’ve spent a tremendous amount of effort trying to create these ontology structures (separate from source code) that computers are expected to reference and/or pass around and use, from application to application. Now, with serverless computing evolving, we’re learning that we can just pass the source code around, including specifications, functional behavior, data, and all. Isn’t this far more powerful than any existing intentionally explicit ontology that has been created, to date?
My Best,
Frank
—
Frank Guerino, Managing Partner
The International Foundation for Information Technology (IF4IT)
http://www.if4it.com
1.908.294.5191 (M)
Well, Rich, not everyone has quite the narrow focus you describe/attribute to all capitalists, and not all sponsors are capitalists. Governments and non-profits often invest in such capabilities/standards. Furthermore, some capitalists in the Internet/globalist age realize that supply chain and consumer chain partners can be widespread and dynamic (i.e., changing over time). They often invest both directly and indirectly (through membership in industry associations and through partnerships with third-party brokers/exchanges) in capabilities and standards that promote gaining significant additional value from their investments (e.g., more global markets) with relatively little additional investment.
I agree that the mantra of “focus, focus, focus” is very prevalent in business, and for very good reasons. But sometimes too much focus allows competitors to eat into your potential markets and makes you blind to the value of your capabilities or products/services outside your traditional markets. That’s why I often respond to people asking me what I did for a living that I “teach people unnatural acts and give them ‘out of body’ experiences”.
Regarding the issue of the value versus cost/risk proposition of exposing what might otherwise be called internals of software systems, I’d just like to point out that a lot of Internet businesses make their living by selling what in the past would have been considered internal audit trail information in traditional software systems – essential deriving business value or operational intelligence from user/agent behavior captured by such information. Of course, there may be internal book-keeping information that is of no value outside the software execution environment. And there is significant development cost associated with exposing such “internals” so some judgement is required. But the relative run-time and connection/communication costs associated with exposing this information are declining.
Hans,
Even governments have budgets they have to negotiate. The extra cost of developing the internals to a point where they can be exposed safely to naïve users is still a cost, and an accompanying schedule increase. So exposing internals may or may not be worth that cost, whether it’s a government or a capitalist doing the development.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
http://www.EnglishLogicKernel.com
John,
The value of a Plan B is negative. Companies that maintain a way to back out of its primary market nearly always fail. It takes serious commitment to a Plan A to make a company successful. The old statement "Don't put all your eggs in the same basket" never did work, but it took the experience of conglomerates to make that data clear. Ask your entrepreneur buddies.
The experience of the industry with data dictionaries shows that people interpret each name in a diversity of ways, not in one way. The notion of an ontology is good for philosophers and logicians, but not very useful in most software projects.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
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-----Original Message-----
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of John F Sowa
Sent: Sunday, May 28, 2017 1:34 PM
To: ontolo...@googlegroups.com
Subject: Re: [ontolog-forum] Types of ontologies?
--
Rich,
I agree completely. I don’t think I said anything in my previous email that implied otherwise.
Hans,
You wrote:
I agree completely. I don’t think I said anything in my previous email that implied otherwise.
Then we are in violent agreement!
John Sowa wrote:
For example, IBM's primary market from 1916 to the 1950s was "business machines". Throughout that period, IBM kept upgrading and expanding their market. Their original "primary" market was mechanical devices for processing punched cards and printing reports.
Then, in 1981, IBM introduced a new market - PCs - which would take over from that Basic computer and the Series 1 which were previously the low price computers. Just a small market at first, a few billion for a company as big as IBM wasn't worth dominating, so they let Bill G have it.
See what I mean?
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
http://www.EnglishLogicKernel.com
-----Original Message-----
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of John F Sowa
Sent: Sunday, May 28, 2017 8:18 PM
To: ontolo...@googlegroups.com
Subject: Re: [ontolog-forum] Types of ontologies?
--
Ha! An IBM 1130 was the first computer I used. Fond memories.
Regards
Matthew West
Frank,
You wrote:
How do we eliminate the vagueness?
Let me suggest that it is that very vagueness in communication which is the strength of studying ontologies of various kinds. Ontologies provide a sometimes well structured way to describe Things that can be communicated to other ontologists who happen to agree, vaguely, on the lexical naming of objects and assemblies of objects. But what they individually conceptualize may not be at all the same.
I have seen this within groups writing proposals for systems, among programmers defining software architectures, among managers deciding where to place a large investment, and among friends at a bar discussing work after hours.
The ontology is just a glimmering wriggling structure. It’s the studying of various ontologies that helps the studier think of more organized structures to use in the future. But ontology itself, other than typologies, are not *direct* values. They are ways to new means.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
http://www.EnglishLogicKernel.com
From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of Frank Guerino
Sent: Tuesday, May 30, 2017 9:26 AM
To: Ontolog Forum
Subject: Re: [ontolog-forum] Types of ontologies?
Hi John,
My apologies. I misread your statement. Yes, we are in agreement.
I would add that the very vague definition “An ontology is a formalization of a conceptualization” leads us to the realization that just about anything which acts as a formalization can be argued to be an ontology. For example:
· A specification could be argued to be an ontology.
· A simple or complex data structure, such as built-in types or classes, could be argued to be an ontology.
· A virtual or even a physical model could be argued to be an ontology.
· A physical manifestation of a concept (like a final product) could be an ontology.
o For example: A physical hammer is technically a formalization of the concept of a hammer.
o For example: A physical car is technically a formalization of the concept of a car.
Frank,
You wrote:
How do we eliminate the vagueness?
Let me suggest that it is that very vagueness in communication which is the strength of studying ontologies of various kinds. Ontologies provide a sometimes well structured way to describe Things that can be communicated to other ontologists who happen to agree, vaguely, on the lexical naming of objects and assemblies of objects. But what they individually conceptualize may not be at all the same.
I have seen this within groups writing proposals for systems, among programmers defining software architectures, among managers deciding where to place a large investment, and among friends at a bar discussing work after hours.
The ontology is just a glimmering wriggling structure. It’s the studying of various ontologies that helps the studier think of more organized structures to use in the future. But ontology itself, other than typologies, are not *direct* values. They are ways to new means.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
http://www.EnglishLogicKernel.com
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Frank,
That is an interesting set of questions that you rose:
Since the foundation of scientific truth is to establish vagueness in favor of factual specificity, wouldn’t it be fair to say that your statement doesn’t sound very scientific?
My statement is intended to reflect the actuality of how people fill in missing details for patterns that we expect to see, in the situations we expect to see them in. That is well known from psychologists conducting experiments designed to show it. So it wasn't intended to describe science, just to describe known behaviors.
You wrote: “Ontologies provide a sometimes well structured way to describe Things that can be communicated to other ontologists who happen to agree, vaguely, on the lexical naming of objects and assemblies of objects.”
I admit it. What an object does in an ontology is to provide a common concept between the sender of a sentence and the receiver. When there are more than two people involved, you may have noticed from our past discussion of specific ontologies, there is almost never agreement on much of anything. So in my opinion, ontologies form in observers' heads in subjective ways dependent on that observer's past experiences of similar situations. But people don't often get the same experience on the same concept. So the concept varies from person to person.
How do we know for sure?
That is the point; we can't know much of anything for sure. We can just keep making up lines of argument, proofs, disproofs, whatever we can leverage the concepts with. But concepts vary among us, as shown by this list's past history.
Given that we can’t clearly define what an ontology is, at an objective level, isn’t your statement tied to your personal/subjective interpretation of what an ontology is?
Of course. Just like everyone else's interpretation is personal/subjective because they all had unique experience bases to work from just as I did.
I’m not saying this to be critical but to bring up the point that anything anyone says about an ontology can be no more than unsupported opinion or, at best, hypothesis without some form of a clear and repeatable baseline for a definition.
I agree.
So, when you say: “The ontology is just a glimmering wriggling structure. It’s the studying of various ontologies that helps the studier think of more organized structures to use in the future.” Do you know you’re studying real ontologies or what people subjectively call and believe to be ontologies?
Since I believe all personal interpretations are subjective by definition, I am studying my own exposure to many ontologies to help identify ways to treat odd or unusual conflicts in representation.
If we were to say: An ontology contains “these things,” what would such things be that everyone could agree upon? I believe we both know that this question would lead to an endless debate driven by opinion more than science.
No, everyone can't agree on much of anything other than trivialities! And yes, endless debate unless those on the list are old timers who have heard it endlessly before. Yet still we persist.
My Best,
Frank
Your best is excellent, thanks for the good questions.
Dear Erick,
Not quite what you are after I’m sure, but here is a figure from my book “Developing High Quality Data Models” illustrating different types of data model. Note it is a Venn diagram with lots of overlap between the types.
Regards
Matthew West
Information Junction
Mobile: +44 750 3385279
Skype: dr.matthew.west
matthe...@informationjunction.co.uk
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From: ontolo...@googlegroups.com [mailto:ontolo...@googlegroups.com] On Behalf Of Erick Antezana
Sent: 30 May 2017 21:45
To: ontolo...@googlegroups.com
Subject: Re: [ontolog-forum] Types of ontologies?
Dear all,
thanks for the very interesting replies.
I had been still looking for a "typification" of ontologies. I have decided to stay (at least for the time being) with the one proposed by Guarino (classification according to their "level of generality"):
http://osm.cs.byu.edu/CS652s04/Gua98Formal.pdf (see page 7)
Such a classification will help me to better delineate the roles and responsibilities of groups I work/interact/collaborate with around our "ontology platform", which mainly holds top-level ontologies and domain ontologies.
@Frank G. : many thanks for sharing your spreadsheet. Very useful directory. FYI: the VEST directory (http://vest.agrisemantics.org/) might be useful to enrich your directory.
best regards,
Erick
On 30 May 2017 at 18:44, Rich Cooper <metase...@englishlogickernel.com> wrote:
Frank,
You wrote:
How do we eliminate the vagueness?
Let me suggest that it is that very vagueness in communication which is the strength of studying ontologies of various kinds. Ontologies provide a sometimes well structured way to describe Things that can be communicated to other ontologists who happen to agree, vaguely, on the lexical naming of objects and assemblies of objects. But what they individually conceptualize may not be at all the same.
I have seen this within groups writing proposals for systems, among programmers defining software architectures, among managers deciding where to place a large investment, and among friends at a bar discussing work after hours.
The ontology is just a glimmering wriggling structure. It’s the studying of various ontologies that helps the studier think of more organized structures to use in the future. But ontology itself, other than typologies, are not *direct* values. They are ways to new means.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
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Dear all,I am sure this question has already been asked long ago; however, I was not able to find any good pointer in the ontolog archives...so here it is (possibly again): could you recommend some documentation/definitions about the types of ontologies?I typically develop and work on 'domain ontologies' and 'application ontologies' (in the life science arena). To some extent, I have (re)used 'upper level ontologies'... We want to review the way we name and classify those different types of artifacts. Any pointers would be highly appreciated.I know there could be different classifications, based on specific dimensions such as expressiveness, purpose, coverage, etc. (http://www.springer.com/cda/content/document/cda_downloaddocument/9780857297235-c1.pdf?SGWID=0-0-45-1193345-p174120365). however, I was wondering whether there is any "relatively widely accepted" classification?thanks,Erick
Michael wrote:
It occurs to me that while we discussed some very interesting things on this thread we didn't actually say much about the OP's question. I just gave it a few minutes thought but for what it's worth here is what I came up with. If I was doing an ontology of ontologies I would start by looking at the structure of the company that was creating the ontologies and I would base my model on that structure. The business I'm most familiar with is consulting so I took a quick (like 5 minutes) very rough cut of what an ontology of ontologies would like like for a large consulting firm such as Accenture. This is just an example, I don't know the business of the OP and if I were doing it I would structure it as they structure their business but I used consulting just as an example.
I have two main classes: Ontology (the actual ontologies) and Stakeholder (the people who use the ontology). Stakeholders have subclasses: Employees, Clients, and RegulatoryAgencies. Ontologies are divided along the lines that consulting firms divide their business: Service Offerings (Strategy, SystemIntegration, etc.) and Industries (Healthcare, FinancialServices, AerospaceAndDefense,...). Also, key technologies that are critical to the firm such as J2EE and Microsoft .NET (usually there are special nerd groups that just focus on technology rather than an industry or service line, I was always in one of those groups). Ontologies all have standard meta-data metrics such as who created, when created, etc. If I was doing this for real I would look at the literature on Digital Asset and Content Management. An ontology is essentially just another digital asset and I would look at the various meta-data that people have identified for indexing and managing digital assets. My toy example model is attached.
Michael
Yes, I agree. Your point leads to different ontologies for different businesses, of course. The partitions that best serve each org chart section depend on how they will be used by that section and by the decision makers who resource it.
Sincerely,
Rich Cooper,
Rich Cooper,
Chief Technology Officer,
MetaSemantics Corporation
MetaSemantics AT EnglishLogicKernel DOT com
( 9 4 9 ) 5 2 5-5 7 1 2
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“An ontology is a complex computing or communications data structure or set of data structures that goes/go well beyond traditional Classes, in order to describe, define, and/or specify a bounded domain of operations, such that senders and receivers of such structures can efficiently and effectively interact with each other in a compatible manner."
Frank,
You wrote:
First, I have to apologize for my moment of dyslexia. I meant to state that the foundation of scientific truth is to establish factual specificity in favor of vagueness. (This what happens when I rush.)
I agree with much of what you stated.
You wrote: “We can just keep making up lines of argument, proofs, disproofs, whatever we can leverage the concepts with. But concepts vary among us, as shown by this list's past history.”
I just wanted to point out that I have seen and read many debates but not much in the way of true scientific research procedures to prove/disprove ontology assertions. This is very interesting to me because the same problem exists in the Knowledge Management space, where almost everyone makes up the definition of knowledge to suite their debates. One massive difference is that this ontology community is heavily rooted in complex data structures for the purposes of computing. Therefore, maybe, the definition of an ontology for this community should revolve around something like:
“An ontology is a complex computing or communications data structure or set of data structures that goes/go well beyond traditional Classes, in order to describe, define, and/or specify a bounded domain of operations, such that senders and receivers of such structures can efficiently and effectively interact with each other in a compatible manner."
My Best,
Frank
The computing part, I disagree with for most (but not all) of the description of an ontology for this group. I have seen a whole lot of FOL examples and philosophical jargon ("continuants") for concepts I think are much more easily solved in computing than the solutions in the FOL examples.
On 5th May, Frank Guerino asked:
“If you come across anything you feel is useful, I’d certainly like to see it.”
Well, I did consider presenting our very different solution to semantics, one based on the concept of ontological dependency that works astonishingly well in practice. Previous attempts to do so have met with total disregard, so I conclude that a different way of presenting such ideas is needed.
Therefore, can you help me and others interested in comparing different “ontologies” by pointing to simple canonical cases, small enough for clear exposition but rich enough to employ most of the key concepts and notations? In the IFIP community working on the analysis and specification of business computer applications, we used the CRIS case about designing a system for administering international working conferences of the kind where the cases were discussed.
For comparing “ontologies”, I suggest we need something similar. For example, the case sketched by Berners-Lee et al in the 2000 paper in Scientific American, has it been used to made such comparisons? If so, where can one find the proffered solutions?
-- Ron Wheeler President Artifact Software Inc email: rwhe...@artifact-software.com
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