An Ontolog meeting topic?

[Gary Berg-Cross]

Who would be interested in a 2 hour virtual meeting, probably this Summer, to discuss the topic of a core curriculum for semantics, ontology and the like?

Now that we are in the last few weeks of our Ontology Summit some of us have been talking about additional session before the next summit and its topic.

The idea of discussing best practices to train the next generation of semantic scientists/ontologists and the like, has come up at several meetings (US2TS is one example) and seems timely.  

In 2010 the OntologySummit topic was somewhat similar: "Creating the Ontologists of the Future." This included several discussions and panel session exploring what seemed pertinent questions and are pertinent now and more so:

What are the content topics (knowledge and skills), i.e., the competencies, necessary for training and educating an ontologist?

• What does an ontologist need to learn and in what order?
• What are the content topics useful or optionally desired for training and educating an ontologist?
• Is there a spectrum of ontologist positions (e.g., from taxonomist to developer of logical theories) and if so, what is the content and competencies required for each?)

These are all still relevant but there is good deal of experience in allied areas with hot topics like the relation to Deep Learning that suggest an update in the state of affairs might be useful.

I note that IAOA website has an educational item with some relevant material that could be

leveraged, but should be updated.

I'm sure there is a good deal of course-ware out there, but is there a consensus on core knowledge and the relations to various specialties.

Suggestions and expression of interest welcome.

Gary Berg-Cross Ph.D.  

Independent Consultant

Potomac, MD

240-426-0770

[Mike Bennett]

I would be very interested in that. I have a tutorial I present on conceptual ontology modeling, which is less technical than some but integrates with the deployment side of things as well.

I would like to see a lot more cross-over between the hard-won lessons of the Applied Ontology academic community, and the cutting edge technology we are seeing in industry. This is starting to happen I think, but outlining the breadth of what there is to be taught would make the landscape a lot clearer to newcomers. There are people out there in industry who seem to approach things as though putting everthing into Triplestorestuff makes it magically meaningful.

Mike

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[Gary Berg-Cross]

The idea of a "core" area to be learned (handled by academics) and an applied area (like conceptual modeling and knowledge engineering) is one distinction to consider.

Gary Berg-Cross Ph.D.  

Independent Consultant

Potomac, MD

240-426-0770

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/935c73f0-0d1d-1c6a-3798-070510c93c60%40hypercube.co.uk.

[Paul Tyson]

On Fri, 2019-04-19 at 16:07 -0400, Mike Bennett wrote:
> I would be very interested in that. I have a tutorial I present on
> conceptual ontology modeling, which is less technical than some but
> integrates with the deployment side of things as well.
>
>
> I would like to see a lot more cross-over between the hard-won lessons
> of the Applied Ontology academic community, and the cutting edge
> technology we are seeing in industry. This is starting to happen I
> think, but outlining the breadth of what there is to be taught would
> make the landscape a lot clearer to newcomers. There are people out
> there in industry who seem to approach things as though putting
> everthing into Triplestorestuff makes it magically meaningful.

"applied ontology" and "academic community" in the same sentence sounds
like an oxymoron to me.

But, as one who claims neither ontology or academic creds, I can say
from experience that putting everything into "triplestore stuff" does
make it "magically" useful, if not meaningful. Meaning is what you make
of it.

Regards,
--Paul

>
>
> Mike
>
>
> On 4/19/2019 2:26 PM, Gary Berg-Cross wrote:
>
> > Who would be interested in a 2 hour virtual meeting, probably this
> > Summer, to discuss the topic of a core curriculum for semantics,
> > ontology and the like?
> > Now that we are in the last few weeks of our Ontology Summit some of
> > us have been talking about additional session before the next summit
> > and its topic.
> > The idea of discussing best practices to train the next generation
> > of semantic scientists/ontologists and the like, has come up at
> > several meetings (US2TS is one example) and seems timely.
> > In 2010 the OntologySummit topic was somewhat similar: "Creating the
> > Ontologists of the Future." This included several discussions and
> > panel session exploring what seemed pertinent questions and are
> > pertinent now and more so:
> >
> > What are the content topics (knowledge and skills), i.e., the
> > competencies, necessary for training and educating an ontologist?
> >
> >

> > * What does an ontologist need to learn and in what order?
> > * What are the content topics useful or optionally desired for

> > training and educating an ontologist?

> > * Is there a spectrum of ontologist positions (e.g., from

> https://groups.google.com/d/msgid/ontolog-forum/935c73f0-0d1d-1c6a-3798-070510c93c60%40hypercube.co.uk.

[Adrian Walker]

Paul wrote : I can say from experience that putting everything into "triplestore stuff" does

make it "magically" useful, if not meaningful. Meaning is what you make of it

.

Here's a little example to ground the point : RDFQueryLangComparison1.

The data is in triples format, but the English-like rules are needed to specify what to make of it.  The same holds for other relational data formats.

                                          -- Adrian

Adrian Walker
Executable English LLC  
San Jose, CA, USA
(USA) 860 830 2085 (California time)
www.executable-english.com

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/1555720285.1817.5.camel%40sbcglobal.net.

[Matthew West]

Dear Gary and Mike,

I have a good deal of material I can share, starting from what it is all about (making better decisions by having the right information available to support them) through to how to understand the ontological choices your ontology makes (implicitly or explicitly) and what the consequences of those might be for the capability of your ontology, and finally the application of ontology to large scale data integration.

Regards

Matthew West

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/935c73f0-0d1d-1c6a-3798-070510c93c60%40hypercube.co.uk.

[Google]

I would be interested in this topic since Im writing papers on one part, the valuable use of ontologies in work people do with each others. The last was a short paper for the VMBO 2019 conference.

The (missing?) piece Im focusing on is that Ontologies should be used. Seems simple, but the ontology information product must fit with some information need coming from work people do with each other. Developed ontologies should fit with Work-to-be-done (aka Jobs to be-done), communities of meaning and practice.

Unfortunately it cannot taken for granted that an ontologist produce valuable information products for the consumers. FIT is key.

/Anders

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/935c73f0-0d1d-1c6a-3798-070510c93c60%40hypercube.co.uk.

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/Cordiali saluti , Kind Regards, Med Vänlig Hälsning
/Anders W. Tell
Interweaving the Salient Strands of the Enterprise
Changing the Enterprise, weaving perspectives, attitudes, work, results, and benefits.

[Gary Berg-Cross]

We might have a panel as part of a Summer virtual meeting. As part of the Ontology Summit 2010: "Creating the Ontologists of the Future" - On the topic of "Quality"

We had Panel Session-4 called : "Template for Ontology Training Programs" - Co-chairs: Barry Smith & Fabian Neuhaus -

The Panelists were: Dagobert Soergel, Bill Andersen, Nicola Guarino & Michael Grüninger

Some of these might participate again and perhaps others would have some new perspective.

Gary Berg-Cross Ph.D.  

Independent Consultant

Potomac, MD

240-426-0770

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/CABbsESfa08DWWN_83Ym34%3DCzdWiUixJ0PU3DT0rnktQABKwxpg%40mail.gmail.com.

[Gary Berg-Cross]

Thanks for the addition to the conversation Mathew.

What you say sounds like something useful on the quality and usefulness of an ontology which would be part of what people learn in the "core."

 

Gary Berg-Cross Ph.D.  

Independent Consultant

Potomac, MD

240-426-0770

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/003a01d4f74a%24c071efc0%244155cf40%24%40gmail.com.

[Gary Berg-Cross]

Thanks Anders,

I think you point at one of the issues that comes up from people who are less familiar with and formerly trained on semantic tech/ontologies and the like - how do I best "include/accommodate/assimilate" this work as part of the current way I operate?

It is important to address this for them but also as part of formal education include how an ontologists/semantic technologist might be trained to explain and develop quality semantics for mainline projects.

Gary Berg-Cross Ph.D.  

Independent Consultant

Potomac, MD

240-426-0770

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/87440317-9BC9-4153-ADAF-58C4EA8E6C6A%40gmail.com.

[Adrian Walker]

Anders,

Here is one way of making the FIT :  Executable English Summary  .  You can test this by pointing a browser to the site and writing your own self-explaining apps.

                                                        Cheers,  - Adrian

Adrian Walker
Executable English LLC  
San Jose, CA, USA
(USA) 860 830 2085 (California time)
www.executable-english.com

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/87440317-9BC9-4153-ADAF-58C4EA8E6C6A%40gmail.com.

[Gary Berg-Cross]

In considering how some professionals are trained in AI it is a bit interesting (to me) to see that SAIL, for example, does not have a course listed on either ontology or knowledge representation (see http://ai.stanford.edu/courses/).

They do have  CS 257: Logic and Artificial Intelligence (which is cross linked to PHIL 356C)

The basic AI course (CS221: Artificial Intelligence: Principles and Techniques) also gives little play for the KR aspects of the field:

What is this course about? What do web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling have in common? These are all complex real-world problems, and the goal of artificial intelligence (AI) is to tackle these with rigorous mathematical tools. In this course, you will learn the foundational principles that drive these applications and practice implementing some of these systems. Specific topics include machine learning, search, game playing, Markov decision processes, constraint satisfaction, graphical models, and logic. The main goal of the course is to equip you with the tools to tackle new AI problems you might encounter in life.  

Gary Berg-Cross Ph.D.  

Independent Consultant

Potomac, MD

240-426-0770

[Gary Berg-Cross]

BTW, 

The Carnegie Mellon CS curriculum includes an AI core that does include KR as a subject:

Gary Berg-Cross Ph.D.  

Independent Consultant

Potomac, MD

240-426-0770

[Sanju Tiwari]

Dear All

We might have a panel for discussion of "Ontologies for Linked Data".

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/CAMhe4f3So9_a5XrFqy7q6ctEU2Ek7Na1-d%3DGHvxk5nx%2Bohcmow%40mail.gmail.com.

For more options, visit https://groups.google.com/d/optout.

--

Best Regards

Dr. Sanju Mishra Tiwari

Member IEEE

Member Machine Intelligence Research Labs(MIR Lab), USA

[John F Sowa]

On 4/21/2019 11:09 AM, Sanju Tiwari wrote:
> We might have a panel for discussion of "Ontologies for Linked Data".

There is nothing special about linked data. That is just an
implementation decision that may be designed to support certain
algorithms, software, or hardware. But it has no implications
pro or con any content or its meaning.

Any information that is true or false about anything must remain
true or false, independent of any method for storing, finding,
accessing, or processing that information.

John

[Kingsley Idehen]

Hi John,

Linked Data is simply about identifying entities (things) using hyperlinks (specifically, HTTP URIs) and describing them using RDF sentences where said HTTP URIs identify the sentence subject, predicate, and object (optionally, since this can also be a literal).

There is something really important about Linked Data with regards to Ontologies.

Deploying RDF sentences using Linked Data principles makes it possible for one to lookup the meaning of a term using the same follow-your-nose pattern that underlies the entire World Wide Web experience.

Linked Data is about making Structured Data Representation webby or web-like via HTTP URIs.

An ability to look-up a term has the following benefits:

1. Terminology appreciation

2. Broader use and creation of Glossaries.

Here are some examples that aren't possible without the virtues of Linked Data:

[1] http://www.openlinksw.com/schemas/crunchbase# -- OpenLink Ontology for Crunchbase Database

[2] http://www.visualdataweb.de/webvowl/#iri=http://www.openlinksw.com/schemas/crunchbase# -- Visualizing OpenLink Ontology for Crunchbase Database

[3] http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Fwww.openlinksw.com%2Fschemas%2Fcrunchbase%23&gp=2&go=&lp=12&invfp=IFP_OFF&sas=SAME_AS_OFF&distinct=1 -- Using Crunchabase Ontology as "Context Lenses" into one of our Databases that contains individuals (or class instances) from the Crunchbase Ontology .

Related

[1] https://medium.com/openlink-software-blog/simple-linked-data-deployment-tutorial-a532e568c82f -- Simple Linked Data Deployment Tutorial

[2] https://medium.com/virtuoso-blog/what-is-small-data-and-why-is-it-important-fbf5f267884 -- What is Small Data, and why is it important?

-- 
Regards,

Kingsley Idehen	      
Founder & CEO 
OpenLink Software   
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Community Support: https://community.openlinksw.com
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[John F Sowa]

On 4/22/2019 11:02 AM, Kingsley Idehen wrote:
> Deploying RDF sentences using Linked Data principles makes it
> possible for one to lookup the meaning of a term using the same
> follow-your-nose pattern that underlies the entire World Wide Web
> experience.

Yes. That's useful when its necessary to impose some structure
on unstructured data.

> An ability to look-up a term has the following benefits:
>
> 1. Terminology appreciation
>
> 2. Broader use and creation of Glossaries.

Absolutely! See the attached cartoon, MySQL.jpg.
For research issues, see http://jfsowa.com/ikl/Stonebraker.pdf

The choice of text or spreadsheets depends on the application.
When you're looking at the medical record for a single patient,
there is very little repetition. But when you have a database
of thousands or millions of patients, tables are useful.

Either way, the meaning of the data doesn't change.
The terminology and glossaries must be consistent.

John

[Cory Casanave]

John,
Re: > Any information that is true or false about anything must remain true or false, independent of any method for storing, finding, accessing, or processing that information.

This principle seems unrealistic in the face of imperfect information, which is all information, or trust, which is the basis for how information is accessed and processed.

While FOL wants to treat all assertions as immutable, absolute and fully trusted, most use-cases don't.

Regards,
Cory Casanave

> -----Original Message-----
> From: ontolo...@googlegroups.com <ontolog-
> fo...@googlegroups.com> On Behalf Of John F Sowa
> Sent: Monday, April 22, 2019 9:36 AM
> To: ontolo...@googlegroups.com
> Subject: Re: [ontolog-forum] An Ontolog meeting topic?
>

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> a120-b236041c7b4d%40bestweb.net.

[John F Sowa]

On 4/22/2019 2:06 PM, Cory Casanave wrote:
>> [JFS] Any information that is true or false about anything

>> must remain true or false, independent of any method for
>> storing, finding, accessing, or processing that information.
>
> This principle seems unrealistic in the face of imperfect
> information, which is all information, or trust, which is
> the basis for how information is accessed and processed.

The statement I made is true by definition.

The truth value of any proposition p is independent of anything
we may know or believe. Its truth or falsity cannot change just
because we assert it, deny it, repeat it, forget it, store it,
erase it, or process it in any way.

Just think of a certain politician who keeps repeating that he
is as innocent as a newborn lamb. That doesn't make it true.
Nor does that make it false. But it can make us doubt it.

John

[Ronald Stamper]

Dear Colleagues,

In my scientific life, I have two strong, persistent desires:

1.  To discover upon what hidden ontology in the metaphysical sense ontological engineering is based; and

2.  To see the scenario that opens the Berners-Lee et al, 2001 paper proposing a Semantic Web, as a detailed worked example, because I cannot see how generic-specific hierarchies will suffice.

If there are available documents on either of these topics, please tell me.

Regards,

Ronald Stamper

On 20 Apr 2019, at 16:18, Adrian Walker <adrian...@gmail.com> wrote:

Anders,

Here is one way of making the FIT :  Executable English Summary  .  You can test this by pointing a browser to the site and writing your own self-explaining apps.

                                                        Cheers,  - Adrian

Adrian Walker
Executable English LLC  
San Jose, CA, USA
(USA) 860 830 2085 (California time)
www.executable-english.com

On Sat, Apr 20, 2019 at 2:49 AM Google <ander...@gmail.com> wrote:

I would be interested in this topic since Im writing papers on one part, the valuable use of ontologies in work people do with each others. The last was a short paper for the VMBO 2019 conference.

The (missing?) piece Im focusing on is that Ontologies should be used. Seems simple, but the ontology information product must fit with some information need coming from work people do with each other. Developed ontologies should fit with Work-to-be-done (aka Jobs to be-done), communities of meaning and practice.

Unfortunately it cannot taken for granted that an ontologist produce valuable information products for the consumers. FIT is key.

<PastedGraphic-2.png>

/Anders

<PastedGraphic-8.tiff>

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[Ravi Sharma]

All

If the intent is to develop future ontologists and semantics AI specialists, during summer discussions / sessions, I would like to participate even though I have not taught these courses.

Thanks

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/F04DB038-9F32-465D-8914-AA23179647E5%40gmail.com.

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Thanks.
Ravi
(Dr. Ravi Sharma)

 

[Sanju Tiwari]

Many Thanks Kingsley. 

I agree with KIngsley. In Linked Data there is too much option to focus on the "Quality Assurance of Data". It is must to check the content of Linked Data that is published on Web. The quality assurance parameters should be discussed for ontologies and voacbularies.

This is not just implementation (As Prof Sowa said), while it is a platform to semantically interact with the different datasets on the web. It is require to discuss about the following points:

1. Linked Data Life Cycle

2. Linked Data Pranciples

3. Criterias of 5 Star Rating

4. Ontology Structure

5. T-Box and A-Box for Linked Data

As I have studied and worked with the Linked Data I found its really need to focus on some areas.

Many Thanks.

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[Gary Berg-Cross]

In my view the initial session would be to hear from invested parties currently providing some of the educational vision and have them lay out their vies of the  landscape, where we are and where we think we need to go.

Subsequent meetings, over the Summer or into the Fall, might build on this.

Gary Berg-Cross Ph.D.  

Independent Consultant

Potomac, MD

240-426-0770

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/CAAN3-5d0YtWCYUEUAmRs2mRNSnDJ2%3D63B9iY%3Da4AGHqSWXyJjw%40mail.gmail.com.

[Nadin, Mihai]

Do we know who is teaching in this area? Do we have some syllabi? Is there a document that reflects the questions related to theaching the subject?

Just wondering.

Mihai Nadin

 

From: ontolo...@googlegroups.com <ontolo...@googlegroups.com> On Behalf Of Gary Berg-Cross
Sent: Wednesday, May 1, 2019 9:46 AM
To: ontolog-forum <ontolo...@googlegroups.com>
Subject: Re: [ontolog-forum] An Ontolog meeting topic?

 

In my view the initial session would be to hear from invested parties currently providing some of the educational vision and have them lay out their vies of the  landscape, where we are and where we think we need to go.

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/CAMhe4f3ZXjW0P5GEvdMv%2B1DXfRbPMuT%2B-ihHJRAf-q2EtJgN4w%40mail.gmail.com.

[ontos Rob]

All, Since this topic is on education and the IAOA Edu site was mentioned...

A) Putting my Education Committee hat on for a second...

- at the IAOA Education Comm, we have a few ongoing projects. If anyone is interested, see the website and consider joining.

- if you have pointers to ontology courses, books, etc. feel free to send them to me or others in the Education Commitee site

B) A lot of good and interesting points were made in this thread so far. Personally (hat off). Some two cents are that curriculum should include and address...

1) naturally, KRR should be included in curriculum development

2) Seriously consider the interdisciplinary nature of ontology. Develop curriculum tracks for philosophy-focused and comp-sci-focused students and the respective univ. programs. Not everyone interested in applied ontology will be interested in being a hard-core programmer or software engineer. And ontology as a job task does not necessarily need to be bundled exclusively in a software developer or data science job title, but can be part of a job that is more tailored to philosophy-backgrounds (e.g. perhaps knowledge modeler, analyst, or curator, semantic taxonomy developer, etc.)

3) How to create future opportunities, particularly for the former. As someone who knows first-hand and all too well the challenges of finding opportunity with a philosophy dept. diploma with an applied ontology focus, this is critically important. So networking and encouraging those who have succeeded to help others do so would be worth including (education and educators, after all, are about uplifiting and helping realize the potential of others).

4) The conceptual, computational, but even sociological aspects and implications of ontological commitments, choices and metaphysical assumptions should be a topic.

5) Evidential demonstration of the benefit of ontologies. Actual data or results that qualitatively and quantitatively show a system with ontological platforms is more efficient or otherwise achieved the system goals better than without. Actually show the utility. (This is one thing that was lacking in school when studying ontology)

5) Various potential application for ontologies, to allow students to identify areas of interest and other fields of study.

Robert Rovetto

-

Seeking opportunities

GoogleScholar

Edu.Committee, IAOA

[Biswanath Dutta]

Dear Mihai Nadin, 

        I do offer a paper (Paper 20 Semantic Web as part of the 2 years MS LIS) which deals with Ontology besides the other related the topics as the paper name suggest  (the syllabus can be found here: https://drtc.isibang.ac.in/full_syllabus.html#asterisk). 

At a glance, the following are the topics that I generally cover. 

1. Introduction to the fundamentals, and problems of information search and retrieval 

(both from traditional and online search and retrieval perspectives) 

2. Historical note to various information organization systems (glossary, taxonomy, metadata, thesaurus)

3. Semantics and its significance, issues  

4. Knowledge representation, features, KR problems, languages 

5. Ontology for semantic representation and its connections to the existing information organization systems 

   (including the history, origin, and philosophy of ontology) 

   (types, purpose, methodology, tools (Protege, TopBraid), ...) 

6. Semantic techniques and technologies 

   (SW layers, RDF, ontology, RDFS, OWL, SWRL, SPARQL, reasoning) 

   (various serialization formats like RDF/XML, N3, Turtle,...) 

7. DL in data and knowledge representation 

   (history, origin, purpose, its connections with other logics, DL flavors, TBox, ABox) 

8. Lined Data (introductory) 

Thanking you, 

Sincerely,

Biswanath 

To view this discussion on the web visit https://groups.google.com/d/msgid/ontolog-forum/c1df3d288fa74129986c9e71d2e4396a%40utdallas.edu.