Re: Knowledge graphs

thats great Antoine, thanks a lot
i ll read it with interest when I get the chance, we should also add it to
https://www.zotero.org/groups/2351244/knowledge_representation/items

On Fri, Mar 6, 2020 at 5:56 PM Antoine Zimmermann <
antoine.zimmermann@emse.fr> wrote:

> I can say a few more things but the introduction summarises it pretty
> well in less than 3 pages.
>
> The goal is to give an overview of what KGs are, what they are used for,
> how they are used, and the computing techniques that go with them: graph
> data management, graph-based knowledge representation and reasoning,
> inductive reasoning, KG construction and enrichment, quality assessment,
> KG publication (e.g., as Linked Data or FAIR data), examples of well
> known KGs and their applications. Some research directions at the end.
>
> In addition, there is an appendix with 2 things:
>   - a short history of the concept and phrase "knowledge graph"
>   - formal definitions for many of the notions described in the paper.
>
> The paper is written in order to be accessible to someone who has a
> background in computer science (~MSc level or higher) and would like to
> know more about KGs, either because they are starting research on the
> topic and need pointers and some understanding of the field, or because
> they are interested in using (or would like to consider using) KGs in
> their own company and/or project.
>
> Additionally, it can be used as a pedagogical resource that can easily
> complement a course on the topic.
>
> Some differences compared to other papers on KGs:
>   - it is not a survey in the sense that it does not apply a methodology
> for comparison, analysis, etc. of the topics described (there is no
> novel research in it);
>   - it is very broad, covering aspects related to symbolic,
> non-symbolic, semi-symbolic AI and more;
>   - it is a bit more directed to the KR and the semantic web community
> than many other papers on the topic (BTW, there is a very recent survey
> that targets the ML community more https://arxiv.org/abs/2002.00388)
>   - it is, hopefully, more accessible than most papers on KGs.
>
> There is, though, a textbook announced at Springer that will be
> available this summer and that may achieve the same goals as our paper:
>
> https://www.springer.com/gp/book/9789811081767
>
> but we do not know what's inside. Hopefully, this one complements well
> our paper, but the advantage of our technical report at arXiv is that it
> is 100 % free for everyone :)
>
> Best,
> --AZ
>
>
> Le 06/03/2020 à 10:26, Paola Di Maio a écrit :
> > Thank you Antoine-
> >
> > much appreciated
> >
> > could you please tell us a bit more? could you give us a short
> > presentation (asyncrobous) via slides and or voice as to what are the
> > key point this report brings and how it differs from the dagstul report
> > - if relevant/appropriate
> > Answering for example
> > - what is the gist of this article
> > - what key points/contribution it makes
> > - differences from other articles
> >
> > On Fri, Mar 6, 2020 at 5:21 PM Antoine Zimmermann
> > <antoine.zimmermann@emse.fr <mailto:antoine.zimmermann@emse.fr>> wrote:
> >
> >     Dear AI KR community group,
> >
> >
> >     An introduction (actually, almost a textbook) to knowledge graphs has
> >     just been published on arXiv:
> >
> >     https://arxiv.org/abs/2003.02320
> >
> >     It is certainly of interest to this group.
> >     It emerged from the Dagstuhl seminar that took place in September
> 2018
> >     and that triggered some controversial discussions on this list and on
> >     the Semantic Web mailing list.
> >
> >     I hope this document will be more appreciated in this group than the
> >     Dagstuhl report.
> >
> >     Note that it is *not* a survey paper and does not claim to have novel
> >     contributions. It should be taken as a "tutorial" paper (but a very
> >     long
> >     one, thus almost like a textbook).
> >
> >
> >     Best,
> >     --
> >     Antoine Zimmermann
> >     Institut Henri Fayol
> >     École des Mines de Saint-Étienne
> >     158 cours Fauriel
> >     CS 62362
> >     42023 Saint-Étienne Cedex 2
> >     France
> >     Tél:+33(0)4 77 42 66 03
> >     Fax:+33(0)4 77 42 66 66
> >     http://www.emse.fr/~zimmermann/
> >     Member of team Connected Intelligence, Laboratoire Hubert Curien
> >
>
> --
> Antoine Zimmermann
> Institut Henri Fayol
> École des Mines de Saint-Étienne
> 158 cours Fauriel
> CS 62362
> 42023 Saint-Étienne Cedex 2
> France
> Tél:+33(0)4 77 42 66 03
> Fax:+33(0)4 77 42 66 66
> http://www.emse.fr/~zimmermann/
> Member of team Connected Intelligence, Laboratoire Hubert Curien
>