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What is a Knowledge Graph? CORRECTION

From: Chris Harding <chris@lacibus.net>
Date: Thu, 13 Jun 2019 11:21:00 +0100
Message-ID: <5D02238C.9070809@lacibus.net>
To: xyzscy <1047571207@qq.com>
CC: paoladimaio10@googlemail.com, semantic-web <semantic-web@w3.org>
I should have said that it is a collection of triples to which someone
attaches meaning. The triples might or might not be in a triple store.

Chris Harding wrote:
> What is a knowledge graph?
> I looked it up in Wikipedia, and the definition seemed to be "What
> Google does". Reading a bit more widely, I came to the conclusion that
> it is a triple store to which someone attaches meaning. (Of course,
> this is most, if not all, triple stores.) What is interesting is the
> impressive amount of theory and practice, associated with the
> "knowledge graph" label, for using AI and other techniques to obtain
> transformations or measurements of the triple stores that add to the
> meaning that people attach to them.
> I found these articles helpful:
> http://ceur-ws.org/Vol-2322/dsi4-6.pdf
> https://towardsdatascience.com/neural-network-embeddings-explained-4d028e6f0526
> https://content.iospress.com/articles/data-science/ds007
> xyzscy wrote:
>> Thank you for your response. I think the KG term is spread by GOOGLE,
>> while I don’t how google implement it. I used to think the semantic
>> network is the key technology of KG,but google has never statement that.
>>> 在 2019年6月13日,下午2:46,Paola Di Maio <paola.dimaio@gmail.com
>>> <mailto:paola.dimaio@gmail.com>> 写道:
>>> Thank you for asking this,
>>> I ll leave the experts to reply to scalability and other questions
>>> In general, much depends on the language one uses, which in turn
>>> depends on the domain (which planet you come from)
>>> When I first studied knowledge engineering, the expression knowledge
>>> graph
>>> was not in use at all. I was doing an MSc and studied the body of
>>> knowledge
>>> from ESPRIT project (some folks on this list worked on it)
>>> https://pdfs.semanticscholar.org/193e/b66909b0c87d5dbcdbd6b20d78ed93fc95a7.pdf
>>> I d be curious to learn when such term knowledge graph came in use
>>> and who coined it
>>> I then heard it in relation to the SW and this list, and always
>>> tried to figure out what exactly
>>> a KG is (in relation the wider Knowledge Representation domain I was
>>> studying)
>>> Knowledge graphs are a type of knowledge representation, and they
>>> can be visualized
>>> graphically, or represented using algebra (again, depends on what
>>> planet you are on)
>>> Engineers tend to use diagrams, others tend to use algebra
>>> But more importantly, is that they enable machine readability
>>> querying and computational manipulation of complex (combined) data
>>> sets, assuming knowledge is some kind of data in context, as some say.
>>> I dont use the term knowledge graph much either. Let's see if the KG
>>> folks can offer more info
>>> PDM
>>> Knowledge Graph Representation
>>> *Knowledge graphs* provide a unified format for representing
>>> *knowledge* about relationships between entities. A *knowledge
>>> graph* is a collection of triples, with each triple (h,t,r) denoting
>>> the fact that relation r exists between head entity h and tail en-
>>> tity t. http://ceur-ws.org/Vol-2322/dsi4-6.pdf
>>> On Thu, Jun 13, 2019 at 1:40 PM 我 <1047571207@qq.com
>>> <mailto:1047571207@qq.com>> wrote:
>>>     Dear all:
>>>     When I first touch knowledge graph, I'm very confused. Different
>>>     from the other AI theory, it is not an pattern recognization
>>>     algorithm which will give some "output" given some "input"(such
>>>     as classify algorithms) ,but a program language(such as owl,rdf)
>>>     and database(such as neo4j) instead. So in my opinion, knowledge
>>>     graph is more like a problem of engineering than mathematic theory.
>>>     Then I realized that different from the pattern recognization
>>>     algorithm, the knowledge graph is created aimed at making the
>>>     computes all over the world to communicate with each other with
>>>     a common language, and I have a question: Is scalability the key
>>>     property of knowledge graph?
>>>     There are many knowledge vaults edited by different
>>>     language(such as owl,rdf ),but is it always hard to merge them
>>>     and there is not a standard knowledge vault on which we can do
>>>     advanced development. So is it necessary to open a scalable and
>>>     standard knowledge vault so that everyone can keep extended it
>>>     and make it more perfect just like linux kernel or wiki pedia?
>>>     What kind of knowledge should be contained in the standard
>>>     knowledge vault so that it can be universal? I imagine that the
>>>     standard knowledge vault is an originator, and all of the other
>>>     application copy the originator, then all of the other
>>>     application can communicate under the same common sense, for
>>>     example when a application decelerate ''night", all of the other
>>>     application will know it's dark.
>>>     As I know, the knowlege graph is implement as a query service,
>>>     but is it possible to implement it as a program language,just
>>>     like c++,java? In this way ,the compute can directly know nature
>>>     language, and human can communicate with compute with nature
>>>     language, also a compute can communicate with another compute
>>>     with nature language.
> -- 
> Regards
> Chris
> ++++
> Chief Executive, Lacibus <https://lacibus.net> Ltd
> chris@lacibus.net



Chief Executive, Lacibus <https://lacibus.net> Ltd
Received on Thursday, 13 June 2019 10:21:28 UTC

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