- From: Chris Harding <chris@lacibus.net>
- Date: Fri, 14 Jun 2019 21:31:29 +0100
- To: Paola Di Maio <paoladimaio10@gmail.com>
- CC: xyzscy <1047571207@qq.com>, semantic-web <semantic-web@w3.org>
- Message-ID: <5D040421.5080907@lacibus.net>
Hi, Paola - Interesting question! I think that graphs relate particularly to triples because node-edge-node can be represented as a triple, so a collection of triples describes a graph. So "a collection of triples to which someone attaches meaning" doesn't quite capture it. Maybe "a collection of triples to which someone attaches meaning and which is thought of as a graph, with the nodes representing concepts and the edges representing meaningful connections between them" would come closer? Higher-dimension tuples can come in as embedded vectors - tuples of real numbers that cam be associated with nodes or edges of the knowledge graph to convey attribute values. There appear to be various techniques for producing these, including AI.I think it is these techniques that take us beyond "the good old semantic nets of the 70ies" - although scale is important too. Paola Di Maio wrote: > Chris > KG can also be any n-tuple, isnt it? > > On Thu, Jun 13, 2019 at 6:21 PM Chris Harding <chris@lacibus.net > <mailto:chris@lacibus.net>> wrote: > > 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 <mailto:chris@lacibus.net> >> > > -- > Regards > > Chris > ++++ > > Chief Executive, Lacibus <https://lacibus.net> Ltd > chris@lacibus.net <mailto:chris@lacibus.net> > -- Regards Chris ++++ Chief Executive, Lacibus <https://lacibus.net> Ltd chris@lacibus.net
Received on Friday, 14 June 2019 20:31:59 UTC