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Prikvačeni tweet
Let us introduce the
#Ontotext Platform. - Never heard of it. Is this the real life? Is this just fantasy? - It's an actual system that consists of a set of micro-services such as#databases,#machinelearning algorithms, APIs & tools we use to build various#textanalytics.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Important takeaways from
@linked_do article on the evolution of#knowledgegraphs: while#GraphQL works well in some cases but its the expressiveness is limited, the fact of its rise is a signal that vendors seem set to meet users where they actually are.https://hubs.ly/H0mRZ-h0Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
In light of the official
#BrexitDay last Friday, a reminder how our data analysts provided a better guess on the#Brexit referendum results than many polls: https://hubs.ly/H0mR_-X0#semanticenrichment#semantictechnologyHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
#OntotextPlatform is built from years of experience in delivering complex#semantic solutions. It combines the#semantic &#GraphQL technology stacks to make the developer's life easier by removing obstacles on the road to fast#knowledgegraph development.https://hubs.ly/H0mGYPN0Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
As 2019 came to an end, we took a look at the most interesting texts in our blog that address
#knowledgemanagement &#knowledgediscovery. Have a quick overview here: https://hubs.ly/H0mQtwQ0#semantictechnology#textanalysis#knowledgegraph#textmining#graphdb#RDFHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We've been retweeting
@WeVerify project review progress lately. If you wonder what it's about, a quick recap: https://hubs.ly/H0mQGFv0 . A joint project w/@iLabATC@dw_innovation@AFP@CERTHellas@SheffieldNLP &@DisinfoEU for a platform for algorithm-supported news verification.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Disambiguation is hard even for humans sometimes. A great benchmark for a
#knowledgegraph powered disambiguation tool would be to tell whether it is more work that *lies* ahead or more *lies* as in "fake news to be verified & disproved" that lie ahead.https://twitter.com/WeVerify/status/1222908038765596674 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A chance to catch up w/
@kiryakov_ak's presentation from the@KGConference last year: https://hubs.ly/H0mPMm20 . He shows how the powerful combination of#knowledgegraphs &#cognitiveanalytics provides human-like "awareness" of the companies, people, locations & other entities.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The integration b/n
@OntotextGraphDB &@MongoDB allows us to store some of our data outside of#GraphDB, convert it to#RDF, fetch it w/#SPARQL and integrate it w/ our other data. Check out this step-by-step guide to understand how works in practice:https://hubs.ly/H0mPj3X0Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ontotext proslijedio/la je Tweet
A simplified data model of the WeVerify database of known fakes, presented by Andrey Tagarev of
@ontotext at first project review in Brussels.@EU_H2020@CORDIS_EU@EUScienceInnov@MediaFutureEUpic.twitter.com/8719ytnFed
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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@Addlesee_AI perhaps you might be interested in adding this video tutorial to your great list of#linkeddata &#SPARQL resources
https://twitter.com/sieverts/status/1222218612620042242 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ontotext proslijedio/la je Tweet
Getting ready for the review.... About to start to present our work of year one to
@EU_Commission project officer@rabalb and reviewers@sihemameryahia,@DomenicoDato and@giovannizagnipic.twitter.com/5gzbaw0R5X
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ontotext proslijedio/la je Tweet
This is how the project team looks like at the end of the day preparing for the first project review on Thursday .... With
@AAlaphilippe@carolscarton@nikossarris@DanaiTsab@sympap@olgpapa@jospang@kbontcheva@dteyssou@nikossarris@ZlatinaMarinov1pic.twitter.com/rvMNSmi98K
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It takes six steps to mine an investment opportunity - the lesson learned from one of our interesting research projects from last year, which explores the possibilities to automate the process of investment recommendations based on
#datamining techniques.https://hubs.ly/H0mNKY70Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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When answering the question whether
#RDF is overly complicated, it's also worth considering that it is not enough to replace a#relationaldatabase w/ a#triplestore & expect it to magically work. Legacy technology & data models should also be addressed.https://twitter.com/namedgraph/status/1222172637646000129 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Thanks to
@datadictum for this insightful interview w/ our CTO@vassil_momtchev on the significance of the new features in the latest@OntotextGraphDB release - improved validation, governance & security. https://hubs.ly/H0mMBc20#RDF#SPARQL#SHACL#Kerberos#graphdatabaseHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Not entirely sure what is meant by water but
#RDF has a somewhat skewed reputation of being overly complicated.@rubensworks says it is "actually pretty simple, [and] it merely allows you to handle very complex problems".#SPARQL#linkeddata#SPARQL#JShttps://twitter.com/jindrichmynarz/status/1222051914759770112 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
OpenBiodiv-O is an ontology that bridges the gap b/n ontologies for
#biodiversity resources (e.g. DarwinCore-based ontologies) &#semanticpublishing ontologies (e.g. SPAR Ontologies). It is at the basis of the OpenBiodiv#KnowledgeManagement System.https://hubs.ly/H0mMv8S0Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The system implements
#AI &#semantictechnology to help draw links b/n data & make them more accessible, thereby constructing a Linked Earth#knowledgegraph that expresses connections among datasets, researchers, locations, publications, etc.https://twitter.com/physorg_com/status/1220722942260191240 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
In the beginning of the month, we welcomed a new
@OntotextGraphDB release. If you haven't checked it out yet, have a brief overview of the new features here: https://hubs.ly/H0mBK7s0#SPARQL#Kerberos#security#graphdb#triplestore#SHACLHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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