- From: Paola Di Maio <paoladimaio10@gmail.com>
- Date: Fri, 14 Jun 2019 10:30:44 +0800
- To: Chris Harding <chris@lacibus.net>
- Cc: xyzscy <1047571207@qq.com>, semantic-web <semantic-web@w3.org>
- Message-ID: <CAMXe=Sqj3mC_zjm26Ry93fT3w7ZSUSj3qJ9cBE2WkNthWDbxrQ@mail.gmail.com>
Chris KG can also be any n-tuple, isnt it? On Thu, Jun 13, 2019 at 6:21 PM Chris Harding <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> 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> 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 > > > -- > Regards > > Chris > ++++ > > Chief Executive, Lacibus <https://lacibus.net> Ltd > chris@lacibus.net > >
Received on Friday, 14 June 2019 02:31:46 UTC