Learning SPARQL on Twitter
The most depicted humans in #paintings #SPARQL query on #Wikidata looks an #artwork itself https://t.co/MgWi4bCDPo (ht @sanseveria ) pic.twitter.com/qMjZtNkCFM— Maarten Dammers (@mdammers) January 18, 2020
State of the Graph: The Merger of Property Graphs and Semantic Graphs
Property graphs seem inherently simpler. Semantic graphs put more emphasis on #datamodeling, treat node/edges as concepts bound by a universally unique identifier #data #tech #knowledgegraph #EmergingTech #datamodel #datascience #software @kurt_cagle [LINK]https://www.linkedin.com/pulse/state-graph-merger-property-graphs-semantic-kurt-cagle [LINK]https://media-exp1.licdn.com/dms/image/C5612AQF2DIFR7DjXKQ/article-cover_image-shrink_600_2000/0?e=1585785600&v=beta&t=tN9Z8ZbE1VeNHiPvhdFfDi34VwHW_pOHXPWv7Il8f7Q
36C3 Wikipaka WG: Querying Linked Data with SPARQL and the Wikidata Query Service - YouTube
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
Schema.org 6.0 is out! Lots of small but useful improvements, see release notes at schema.org/docs/releases.… for details. As always, many thanks to everyone who contributed :) https://t.co/53751s80CA
#SchemaOrg 6.0 is out. Lots of small but useful improvements. New types Guide, Recommendation may be of interest for #digitalmarketing h/t @aaranged @danbri #SEO #semantics #knowledgegraph #search [LINK]https://schema.org/docs/releases.html#v6.0 [LINK]
Andrea Volpini retweeted: 28% of the 20 million websites we've reviewed are already using Structured Data 🤖 Is yours? Check here: https://t.co/yXBU3nrDg0 https://t.co/ABAOjZ3lpL
28% of 20 million websites reviewed by @woorank are already using Structured Data #connecteddata #knowledgegraph #SEO #semantics #SchemaOrg h/t @cyberandy For a hands-on, in depth tutorial: [LINK]https://www.slideshare.net/ConnectedDataLondon/from-knowledge-graphs-to-aipowered-seo-using-taxonomies-schemas-and-knowledge-graphs-to-improve-search-engine-rankings-and-web
Announcing AnzoGraphⓇ DB Version 2
.@CamSemantics announces Anzo #GraphDB v.2: RDF*, Custom SDK, Free Edition. "Imagine being able to do labeled properties, just like you do in Neo4j & other property graphs, but also have capability of RDF to help w ontologies & inferencing" #data #tech
Being on Hacker News Front Page Brought Us Much More than Just 300+ Stars on GitHub within 24 hours
.@NebulaGraph is a new #opensource #GraphDB, claiming to be capable of hosting super large scale graphs w/ dozens of billions of nodes, trillions of edges, milliseconds of latency. Inspired by #Facebook project Dragon, featured on page #1 on @HackerNews
Creating Graphs in Python using Networkx - Towards Data Science
Creating Graphs in Python using Networkx #dataviz #tutorial #datascience #data #tech
Graph Theory and Data Science
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
20 Data Trends for 2020
#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
A Dictionary of Graph Terms | LinkedIn
a general list of terms and phrases used frequently in the Semantics and Property Graph space. It is far from comprehensive, but if you've ever read my or other writers' articles, you may have run across terms that were unfamiliar. I'm publishing this here, with the intent of periodically updating it as time and resources permit.
How Graphs Help Investigative Journalists to Connect the Dots
The Journalists of the ICIJ used graph technology to understand the relationships between the leaked pieces of information in the Panama and Paradise Papers. N…
Alan Morrison on Twitter
Do you want to learn more about #knowledgegraphs and data-centric architecture? @AlanMorrison put together a list of resources #datacentric #dataarchitecture #semantics #LinkedData #GraphDatabase
Introducing Graphistry for Individuals and Startups! - Graphistry
Visually explore rich #datasets w/ #GPU & graph computing, no manual code. Add GPU experiences to #apps w/ Python or JavaScript @Graphistry for individuals and startups: same #software, 8X cheaper #graph #data #analytics #dataviz [LINK]https://www.graphistry.com/blog/introducing-graphistry-for-individuals-and-startups[/LINK] [IMAGE]https://www.graphistry.com/wp-content/uploads/2019/12/biogrid.gif[/IMAGE]
Graph Database and Analytics for everyone | Oracle Spatial and Graph Blog
#Oracle offers #GraphDatabase, Graph #Analytics free of charge with purchase of main Oracle product license. 2 different products: Database built over Oracle's relational store using RDF/SPARQL. Analytics in-memory engine, custom query language
TigerGraph Improves Its Graph Database-As-A-Service With Enhanced Performance And More Robustness
.@TigerGraph #graphDB updates its #Cloud offering with configuration for distributed graphs, replica instances for high availability, EFS for backup/restore. Updates available by end of 2019 on #AWS, #Azure to follow in Q1 2020
The Coming Merger of Blockchain and Knowledge Graphs
#knowledgegraphs need #DLTs to secure keys, DLTs need knowledge graphs to provide context & provenance. Ultimately, knowledge graphs will end up being the integration point for a number of #technologies lumped under #AI #data #EmergingTech @kurt_cagle
Graph Analytics Market Worth $2,522 Million by 2024 - Exclusive Report by MarketsandMarkets™
Graph #Analytics Market Worth $2,522 Million by 2024. Major factors fueling market growth: demand to analyze low-latency queries, integration of #AI #IoT #technologies, ability to uncover relationships in #data in #realtime #business #data #research
Node2Vec — Graph Embedding Method - Towards Data Science
Graphs are common #data structures to represent #connecteddata. To use graphs with #deeplearning, we use graph embeddings, a low dimension representations which helps generalize input data. Node2Vec aims to preserve network neighborhoods #datascience #AI
paper569.pdf
Updates on #knowledgegraphs affect services built on top of them. But not all changes are the same: some updates drastically change the result of operations based on knowledge graph content; others do not lead to any variation #research #award #iswc_conf
How many truths can you handle?
Managing multiple truths in #datamodeling, #ontologies & #knowledgegraphs by @palexop #semantics #vagueness #datascience #dataengineering #EmergingTech #dmzone #presentation
(20) Aaron Bradley on Twitter: "#schema.org 5.0 released. No additions to core, but vocabulary for the classification of health topics for more real estate properties in development. https://t.co/BEQsWeDQqo https://t.co/o7JKCoLSg0" / Twitter
#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
Graphs Analytics for Fraud Detection - Towards Data Science
Graphs #Analytics for Fraud Detection, using Graph #NeuralNetworks for Anomaly detection. GraphSAGE is Stanford #opensource project: deep neural network-based NRL toolkit, implemented in Tensorflow, making it ideal to develop an anomaly detection system
PRACTICAL GREMLIN: An Apache TinkerPop Tutorial
Practical Gremlin, the guide to @apachetinkerpop #graphdatabase opensource framework by @gfxman, just went past the 1000 commit mark and has a new edition #database #datascience #analytics #tutorial
RAPIDS cuGraph : multi-GPU PageRank - RAPIDS AI - Medium
.@NvidiaAI RAPIDS cuGraph #opensource library is on a mission to provide multi-GPU graph #analytics for billion/trillion scale graphs. Experimental results on release of a single-node multi-GPU version of PageRank: on average 80x faster than #ApacheSpark
Rethinking optimization criteria for Web querying
A case for response time focused query processing by @olafhartig at #ISWC19 Rethinking optimization criteria for Web querying. Optimizing Query execution time is not the same as optimizing Query Response time #research #www #linkeddata #keynote
Graph Data Modeling: Categorical Variables - Neo4j Developer Blog - Medium
Property graphs provide a lot of flexibility in data modeling; but how do you know when to use which feature?
Sentiment Analysis on Twitter Data Using Neo4j and Google Cloud
In this blog post, we’re going to walk through designing a graph processing algorithm on top of Neo4j that discovers the influence and sentiment of tweets in your Twitter network.
"What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web."
"What are Links in Linked Open Data? A Characterization and Evaluation of Links between Knowledge Graphs on the Web."(Haller et al, 2019)https://t.co/wE8nEH0ugn pic.twitter.com/2q22ow6jB4— WikiResearch (@WikiResearch) October 10, 2019
Apache Tinkerpop rocks DataStax support for Gremlin - Open Source Insider
Free @DataStax Academy course Getting Started w @apachetinkerpop & Gremlin. To be familiar with Gremlin traversal syntax & techniques, developers need to understand how the language works @ABridgwater @DeniseKGosnell #tutorial #softwaredevelopment