GraphNews

Gremlin Snippets are typically short and fun dissections of some aspect of the Gremlin language. For a full list of all steps in the Gremlin language see the Reference Documentation of Apache TinkerPop™. This snippet is based on Gremlin 3.4.6.This snippet demonstrates its lesson using the data of the modern toy graph (image).Please consider bringing any discussion or questions about this snippet to the Gremlin Users Mailing List.

See how to benchmark your system using the HOBBIT platform @hobbit_project #benchmarking #opendata #LinkedData #MachineLearning #H2020 https://t.co/BvzQwO7W8U pic.twitter.com/RW9LDCxvFB— Project HOBBIT (@hobbit_project) July 4, 2019

.@StardogHQ now supports property graphs. A key difference of RDF edge properties - property graphs: RDF edge property values are nodes in the graph. In property graphs attribute values are strings, not things – contrary to #knowledgegraph main principle

Are Property Graphs Training Wheels on the way to #KnowledgeGraphs? @semanticarts contention is that beyond initial #analytics use case, great body of work that already exists, has been long standardized will have to be reinvented #graphDB #datascience

Graph databases such as Neo4J are gaining in popularity. These are in many ways comparable to RDF databases (triplestores), but I will highlight three differences: The underlying datamodel in most …

ERCIM News, the quarterly magazine of the European Research Consortium for Informatics and Mathematics

A Python wrapper for exposing Linked Open Data from public SPARQL endpoints

Facebook AI has created and is now open-sourcing PyTorch-BigGraph (PBG), a tool that makes it much faster and easier to produce graph embeddings for extremely large graphs.

Keith Hare has joined the Neo4j team to spearhead language standards efforts. My name is Philip Rathle, Neo4j’s VP of Product Management, and I got a chance to sit down with Keith to discuss his thoughts on databases, standards and the future of the industry. Philip Rathle: Welcome to the team, Keith. As the Convenor for the ISO committees for SQL and now for the GQL Project you’re a busy person. What have you been up to? Keith Hare: While I am spending a significant amount of time working with the Neo4j LANGSTAR (Languages, Standards, and Research) team, I am continuing in my roles as the Convenor of the ISO SQL and GQL standards committee, and as the President of JCC Consulting, Inc. Philip: What’s been your involvement in ISO, and what have you been working on? Keith: I got started in the US SQL standards process a bit over 30 years ago, partially because it was interesting and partially as a way of keeping track of what was happening in the database industry. In

scale incomplete knowledge graphs

KAUST shows a universal query engine for Big Data that works across computing platforms could accelerate analytics research

Querying @DBPedia #LinkedData From Jupyter Notebooks – Music Genres Related to Heavy Metal and Music Venues in England. #data #tech #dataviz #knowledgegraph #datascience @psychemedia h/t @aaranged

Part 1.

Querying the first RDF Data Cube based on an existing PC-Axis/PX data cube published by @swissstatistics. Thanks to @bergi_bergos for the great converter, will be made public later pic.twitter.com/4SJ3jpKg7e— Adrian Gschwend (@linkedktk) July 10, 2019

Last month in Populating a Schema.org dataset from Wikidata I talked about pulling data out of Wikidata and using it to create Schema.org triples, and I hinted about the possibility of updating Wikidata data directly. The SPARQL fun of this is to then perform queries against Wikidata and to see your data edits reflected within a few minutes. I was pleasantly surprised at how quickly edits showed up in query results, so I thought I would demo it with a little video.

Building on the newbie’s guide to querying #Wikidata, @markhneedham learns all about the CONSTRUCT clause in SPARQL #softwareengineering #datascience #tutorial #opendata #linkeddata #knowledgegraph #GraphDB #data #tech

Natural language question answering over #knowledgegraphs enables accurate answers in intuitive manner. But bridging the gap between unstructured questions & knowledge graphs is a challenge. Novel notion: structural query pattern #research #AI #NLP

In this paper, an overview of the state of the art on knowledge graph

.@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

The Data Scientist has a collection of techniques within their proverbial toolbox. Data engineering, statistical analysis, and machine…

The vision of RAPIDS cuGraph is to make graph analysis ubiquitous to the point that users just think in terms of analysis and not…

RavenDB, the open-source transactional NoSQL document database vendor, has added data replication and other features to the latest release along with the

Introducing Configurable Analyzers & ArangoSearch Upgrades: This RC post is dedicated to the four new features of ArangoSearch.

existing queries remain valid) even in the face of complex additio

RDFox is a high performance knowledge graph and semantic reasoning engine developed by Oxford Semantic Technologies. This short article will help you understand the key concepts behind RDFox and when to use them in your applications.Knowledge GraphsA knowledge graph is composed of a graph database to store the data and a reasoning layer to interpret and manipulate the data.Relational databases store data in structured records whereas graph databases store data points as nodes which are connected with edges if they share some form of relationship.Data stored in a graph can be accessed with a query which will “hop” along the edges to find the requested nodes.ReasoningReasoning is the process of materialising rules which apply to the data. Materialising a rule means adding new nodes or edges to the graph when it is satisfied. These new nodes and edges match the rule’s “pattern”.A rule can be as simple as an “If… then…” statement.For example: “If a city is located

Learn more about our announcement of Neo4j Enterprise Edition 4.0 Milestone Release 2, which is now ready for testing by the Neo4j community.

(Submitted on 18 Mar 2020) Abstract: In the active research area of employing embedding models for knowledge graph