Re: Knowledge graph toolkit

Hi,

We are working on KGTK, a knowledge graph toolkit:
https://github.com/usc-isi-i2/kgtk <https://github.com/usc-isi-i2/kgtk> 
https://kgtk.readthedocs.io/en/latest/ <https://kgtk.readthedocs.io/en/latest/>

KGTK is a Python library for easy manipulation of knowledge graphs. It provides a flexible framework that allows chaining of common graph operations, such as: extraction of subgraphs, filtering, computation of graph metrics, validation, cleaning, generating embeddings, and so on. Its principal format is TSV, though we do support a number of other inputs.

P

Pedro Szekely
Principal Scientist / USC Information Sciences Institute
Research Director / Center on Knowledge Graphs, USC/ISI
Research Associate Professor / USC Viterbi Computer Science Department
pedro szekely | kg center | 562.889.3149




> On Jun 21, 2020, at 11:24 AM, Amirouche Boubekki <amirouche.boubekki@gmail.com> wrote:
> 
> Le ven. 1 mai 2020 à 18:38, Diego Torres
> <diego.torres@lifia.info.unlp.edu.ar> a écrit :
>> 
>> Dear all,
>> 
>> I´ve notice in the last time the appearance of knowledge graph as a keyword in the Semantic Web context. As I am from the old school, some programming technologies that I am managing are a little out of date.
>> 
>> I would like to ask if some of you could recommend a basic toolkit for a knowledge graph phd student. This includes from programming languages to frameworks, tools, and any other important tool. For example, where could use to store or manage a knowledge graph (neo4j was the last I ve seen, imagine there are new alternativas, most of them open source).
> 
> This thread would be incomplete without mentioning
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>