GraphNews

While plain #rdf2vec cannot be used for #ontology #matching, its extension #owl2vec might do the trick, as proposed in this master's thesis at @unioslo: https://t.co/ILzj4W9UZ2— Heiko Paulheim (@heikopaulheim) August 19, 2019

In this demo, we import and analyse Research papers. Cannot be simpler to do Knowledge Graphs !https://t.co/8C19y1q5MO— Hume - A Graph-Powered Insights Engine (@TryHume) August 19, 2019

Apache TinkerPop 3.4.3 Released. Avant-Gremlin Construction #3 for Theremin and Flowers https://t.co/XeZrz91d4V #graphdb #nosql pic.twitter.com/lXmfraAYHi— TinkerPop (@apachetinkerpop) August 12, 2019

What is the application of #semanticweb in e-commerce, e-banking, e-government, and #lifescience? Most value-creating companies in the world are using #knowledgegraph @AlanMorrison on @Quora #business #tech #data #digitaltransformation https://www.quora.com/What-is-the-application-of-semantic-web-in-e-commerce-e-banking-e-government-and-life-science/answer/Alan-Morrison?ch=2&srid=Mru

#schema.org 5.0 is out. No additions to core, but vocabulary for classification of #healthcare topics for more real estate properties in development. New releases on 1st of month, changes in "Pending" section #SEO #semantics #Google h/t @danbri @aaranged

#Software #Analytics with #Jupyter notebooks using a prefilled #Neo4j database running on #MyBinder by @softvisresearch Created with building blocks from @feststelltaste and @psychemedia #knowledgegraph #softwaredevelopment

I had the chance to attend Strata Data in San Francisco this week and talk to data engineers who are struggling under the burden of decades of legacy application-centric development approaches in an era when companies should be becoming data centric. Here's a way to scale up a data-centric code qual

Practical Gremlin is now updated to cover most of the new features added in TinkerPop. As always it remains a work in progress. More details here https://t.co/xShCVkCnaF @apachetinkerpop #graphdb— Kelvin Lawrence (@gfxman) July 15, 2019

CSV2RDF 2.0 released! https://t.co/2lyYzOJ6fQCSV2RDF is a streaming, transforming, #SPARQL-based #CSV to #RDF converter -now with named arguments (shout-out to @picocli) and a Docker image: https://t.co/BU9uoGXmIc— AtomGraph (@atomgraphhq) July 2, 2019

Last week, I virtually attended the Knowledge Graph Conference 2020. Originally, KGC was planned to be hosted in New York at Columbia University but, as with everything, had to go online because of the pandemic.

* SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks (arxiv.org/abs/2003.00678)

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A quick introduction to 10 basic graph algorithms with examples and visualisationsContinue reading on Towards Data Science »

#Ontology-Mediated Query Answering (OMQA) is a framework to answer queries over RDFS or OWL Knowledge Bases (KB). OMQA has been extended to SPARQL queries. #Research shows semantics can be defined that satisfies all requirements for SPARQL queries

#Semantic #technology, decision intelligence, knowledge #datascience will be our companions in the next years, so it's recommended to start exploring #graphdatabases, #ontologies, knowledge representation systems #knowledgegraph #AI #2020NewYear #trends

Google, Microsoft, Facebook have their own #knowledgegraphs. But there's a larger body of publicly available KGs, such as @DBpedia or #Wikidata @heikopaulheim @svenhertling @n_heist @dwsunima provide overview & comparison #opendata #EmergingTech #research

#Amazon Neptune #GraphDB celebrated its 18-month birthday last month. Here's a roundup of its many improvements over the last year in #Developer experience, #Enterprise capability, Instances, Performance and query improvements, Compliance, Regions #cloud

multiple tables linked by connected fields. Setting up a relational database requires a person who understands data structures. And if new information is added, or new relationships become important, the database administrator will need to change the structure of the database and, most likely, update the user interface as well. So what do you do if you have a data set where you can't map out the relationships ahead of time? Where instead of being connected by a single data point, people can be connected by things you can't predict in advance? Maybe two people are on the same baseball team or like the same types of books or live in the same city. Adding each of those items as a separa

3 ways that #DataVisualization will advance and impact users (including Knowledge Graphs): https://t.co/3XELwiVDDJ——————#BigData #DataScience #DataViz #VisualAnalytics #AnalyticsStrategy #DataStorytelling #KnowledgeGraphs #abdsc pic.twitter.com/N43Wx3APs2— Kirk Borne (@KirkDBorne) August 9, 2019

RDF4J 3.2.0 is a minor release, fixing 42 issues. It is backward compatible with older RDF4J releases.

An intro to querying #linkeddata using SPARQL & @Wikidata. Which films starred more than one future head of government? Largest city with a female mayor? Questions #linkeddata can answer #opendata #knowledgegraph #datascience @CCC h/t @LearningSPARQL [LINK]https://media.ccc.de/v/36c3-60-querying-linked-data-with-sparql-and-the-wikidata-query-service

#semantic understanding of scenes is important for #apps. But in what space should diverse information be grounded, in what structure? 3D Scene Graph outputs a layered graph. Layers have nodes, nodes have attributes, edges between nodes h/t @drfeifei

GPU->Rapids->Cugraph->Scalable Graph Analytics

#SchemaOrg created FAQ Schema. #Google introduced filtering parameters that come w Search implementation. These act as commandments for Google’s algorithm which should be abided by for when markup is used in search results #SEO #semantics h/t @cyberandy

based technologies will soon shift fr

Graph Theory and #DataScience: A topic intro with the Bridges of Königsberg. Graph Theory can be used to represent and analyze a wide variety of network information, has numerous modern applications within Data Science #data #tech #software #algorithms