Re: [ontolog-forum] master data vs. ontologies

[Thomas Johnston <tmj44p@xxxxxxx>]

Erick,

I like your proposal to use "knowledgebase" as, in effect, referring to the union of a set of statements about tokens with a set of statements about types. 

But if I recall from my reading, several years ago, of Brachman and Levesque's book Knowledge Representation, I suspect that the standard use of the term "knowledgebase" (i.e. the use by such experts as those authors, Sowa, and others) is that a knowledgebase is a set of statements about tokens, but embedded in a logic that can be used to carry out inferences on those statements, as relational DBMSs cannot do. (On the other hand, how could deductive inferences about relationships among tokens be carried out unless the formalism included second-order statements about those relationships (such as reflexive, symmetric, transitive), expressed either as rules of inference for the formalism, or as axioms of a specific system?)

And I don't want to use "knowledgebase" in that "union" sense of the term if there is already a well-established accepted use which differs from that.

Perhaps John can enlighten us.

On Wednesday, February 18, 2015 7:07 AM, Erick Antezana <erick.antezana@xxxxxxxxx> wrote:

All,

I feel a bit guilty of having started this thread with such a "controversial" question about the "grey line" (if any) between ontologies and master data. Anyway, the view I had before this thread actually coincided exactly with Thomas Johnston's which I used to translated into a language that some managers could digest so that my projects could get budgeted... I still share the same thinking as Thomas with some adjustments as Matthew elaborated (e.g. ontologies can hold types/kinds + instances; although I prefer to call those things: knowledgebases or application ontologies depending on the listener...) as well as the notion of having a continuum between both artefacts (i.e. ontologies and MD).

I totally agree with Kingsley and John about loosing focus while discussing about (buzz)words meanings; nevertheless, I believe that Matthew could still illuminate us by elaborating his position...

cheers,

Erick

On 18 February 2015 at 15:27, Kingsley Idehen <kidehen@xxxxxxxxxxxxxx> wrote:

On 2/17/15 9:29 PM, Thomas Johnston wrote:

After having laid out my argument that ontologies and master data are not about “the same thing”,

They are about the same thing, fundamentally.

Our challenge remains getting narrative control back from buzzwords, by actually putting the power of Ontologies and Linked Open Data to full practical use [1]. Why? Because these buzzwords are making a mockery of technology advances over the last 40+ years, they continuously mask prior and existing technology advances for all the wrong reasons e.g., creating the illusion of unique insights into a problem spectrum by technically inept marketeers.

Links:

[1] http://www.openlinksw.com/c/9D35663C -- Our Ontology of Terms (goal: buzzword killing)
[2] http://twitter.com/kidehen/status/567808476089708544 -- RDF and Digital Sentences
[3] http://linkeddata.uriburner.com/c/9ZPWHT5 -- About that Giant Global Graph (without owl:sames reasoning and inference)
[4] http://linkeddata.uriburner.com/c/8OKAV7 -- About that Giant Global Graph (with owl:sameAs reasoning and inference enabled).

--
Regards,

Kingsley Idehen
Founder & CEO
OpenLink Software
Company Web: http://www.openlinksw.com
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