GraphNews

Incorporating knowledge graphs into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity between users and items can be discovered as paths, which provide rich and complementary information to user-item interactions. Such connectivity not only reveals the semantics of entities and relations, but also helps to comprehend a user’s interest. However, existing efforts have not fully explored this connectivity to infer user preferences, especially in terms of modeling the sequential dependencies within and ...

And of course, querying it with SPARQL.

SciBite CTO James Malone gives his views on the most useful ways to visualise an ontology.

A series on how the decentralised XRP ledger can be used to explore relationships between wallets using a graph database. This first part focuses on graph databases versus “normal database” and my process of establishing the database.

19 data lake. A large amount of data on coronavirus exists in research publications. One of the datasets in the data lake is a massive corpus of these publications, which the Allen Institute for AI aggregates and updates. The problem lies in how to find and extract the information you need. This post walks you through solving this problem using knowledge graphs. Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. T

[Submitted on 17 Apr 2020] Download PDF Abstract: ``Classical'' word embeddings, such as Word2Vec, have been shown to capture

distanceFeature engineering

Extracting Novel Facts from Tables for Knowledge Graph Completion (Extended version) Benno Kruit et al. https://t.co/FMyQ0Nd8lv pic.twitter.com/8ecT8VenYE— Aaron Bradley (@aaranged) July 3, 2019

based search systems do not reflect the semantics of individual input words of search queries. For example, a query for the word “house” would not return records for the words “building” or “real estate”. How can such relationships be represented in a technical system? One approach is to include synonyms. Search engines like Elasticsearch provide methods to integrate synonym lists. However, a list of synonyms itself is required for configuration.

Facebook appears to be testing the addition of Wikipedia knowledge panels in search results, according to reports from multiple users.Based on the screenshots shared on Twitter, this feature is reminiscent of Google’s integration with Wikipedia.Here’s an example that was spotted a few days ago:New? Facebook shows Wikipedia snippits in search resultsh/t @jc_zijl pic.twitter.com/zcbQJmauhE— Matt Navarra | 🚨 #StayAtHome (@MattNavarra) June 9, 2020Just like in Google’s search results, the Wikipedia knowledge box in Facebook search shows key details about the entity being searched for.You’ll also notice there’s a lone Instagram link, which is a stark contrast to Google’s search results containing links to all popular social media profiles.Unlike Google’s knowledge panels, which link to a number of domains where people can learn more about a entity, Facebook is trying to keep people within the Facebook ecosystem as much as possible.Here’s another example that looks

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Facebook’s recent $5.7 billion investment in Indian telecommunications behemoth Jio Platforms goes beyond the typical tech deal and will help the American social media titan finally unlock the world's biggest democracy.

BLINK is an Entity Linking python library that uses Wikipedia as the target knowledge base.

We just released PSPS: an open source tool allowing Linked Data sites based on GitHub repositories. Like GitHub pages but self-hosted and with SPARQL and RDF. Check it out: https://t.co/tBu6xvA2Qa - As you might have guessed: that's the software powering https://t.co/olmahLZFvb— FactsMission AG (@FactsMission) January 10, 2019

Using Redis #NoSQL #graph capabilities to build and query a family tree. #softwaredevelopment #tutorial #graphdatabase #data #datamodel #apps #code [LINK]http://gigi.nullneuron.net/gigilabs/family-tree-with-redisgraph/[/LINK] [IMAGE]http://gigi.nullneuron.net/gigilabs/wp-content/uploads/2019/11/redisgraph-family-tree-example-1024x494.png[/IMAGE]

Stardog 6.2 just shipped with scalable virtual graph caching, better Kubernetes integration, support for Amazon Redshift, and many new optimizations . Read on for the details.

Xiangrui Meng of Databricks recently posted this on the Apache Spark project users list: http://apache-spark-user-list.1001560.n3.nabble.com/SPIP-DataFrame-based-Property-Graphs-Cypher-Queries-and-Algorithms-td34358.html Databricks and Neo4j contributors are looking to bring Cypher queries into the core Spark project as part of Spark 3.0 (slated for release mid-year 2019). This will build on elements from the Cypher for Apache Spark and Graphframes projects. All the details are in the links i...

Feeling SHACL'd to your desk at home these days? Then try out SHACL Play!, a "free online SHACL validator for RDF data" from Thomas Francart bit.ly/2QfpbQ5

user experience was also far from great and administrative features like access control were totally missing. At the same time, the mainstream web application architecture was relying on techn

Financial fraud is growing and it is a costly problem, estimated at 6% of the Global Domestic Product, more than $5 trillion in 2019.

Financial fraud is growing and it is a costly problem, estimated at 6% of the Global Domestic Product, more than $5 trillion in 2019.

Computerworld covers a range of technology topics, with a focus on these core areas of IT: Windows, Mobile, Apple/enterprise, Office and productivity suites, collaboration, web browsers and blockchain, as well as relevant information about companies such as Microsoft, Apple and Google.

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triple store which we will query with SPARQL. If you are not yet familiar with knowledge graphs and reasoning, you can read an introduction published on

In this article we show how a Graph Network with attention read and write can perform shortest path calculations. This network performs…

Finding the shortest path from Country A to Country B using Graph #analytics #algorithms #javascript #tutorial #softwareengineering #datascience #GraphDB #opensource #Neo4J #data #tech [LINK]https://technology.amis.nl/2019/01/01/finding-the-shortest-path-from-country-a-to-country-b-using-neo4j-and-node/ [LINK]https://miro.medium.com/max/1370/0*Ol4T6m9f4Y2W7T9W.png

If you want to use GraphQL with Neo4j from any JVM based API, this library helps you to use your schema to transpile the query to Cypher.

Dan Barber, the James Beard award-winning chef who pioneered the farm-to-table movement, has a single, elegant term for the complexity of molecules, processes, and sequences that underpins great food: flavor. Like great chefs, computer scientists grapple with complexity, seeking elegant ways to model and analyze increasingly complex–or perhaps, flavorful–phenomena. Across many business verticals, we are […]