Google applied the PageRank algorithm to rank pages to prioritize search results. The algorithm is applicable to networks in other domains, for example, interest rate swap transaction networks in banking, real estate transaction networks, and social networks to find the most influential members of t

Making RDF easy enough for average developers. Contribute to w3c/EasierRDF development by creating an account on GitHub.

While the term “Knowledge Graph” is relatively new (Google 2012) the concept of “representing knowledge as a set of relations between entities - forming a “graph” has been around for much longer. 2019 marks, for example, the 20th anniversary of the publication of arguably the first open standard for

What to expect of Semantic Web and other Semantic Technologies? Knowledge Graphs have gotten a lot of attention as a backbone for Machine Learning, Deep Learning, and AI business use cases. Expect that to continue. There has been a growing appreciation of Knowledge Graphs — ontologies — to provide an umbrella overlay for cross-walks across siloed information resources.

Michael K. Bergman announces his new book, A Knowledge Representation Practionary: Guidance from Charles Sanders Peirce. The book applies this guidance to the question of how to best represent human knowledge to computers. The book's practical guidelines should be of interest to any enterprise KM ma

Virtuoso, GraphDB, Blazegraph, Stardog, AnzoGraph and more…

I have submitted mine. Find it at https://t.co/tdWjN8NhdX"The RDF* and SPARQL* Approach to Annotate Statements in RDF and to Reconcile RDF and Property Graphs"— Olaf Hartig (@olafhartig) January 11, 2019

To get insights from between the lines, you can correlate and categorize the tags of StackOverflow based on the questions they are…

We are going to show how we import the W3C Organizational Ontology into Neo4j using the neosematics tools.

https://t.co/7T0EOs6yG7 - Made this tiny tool to discover related subreddits.The graph is created based on jaccard similarity between two subreddits. Jaccard similarity is constructed from set of shared users.Source code https://t.co/J9r1jl1JjR pic.twitter.com/4hcg7mI4sg— Andrei Kashcha (@anvaka) January 10, 2019

“3.4.0 Highlights - The Gremlin Recipes have been expanded with a new Anti-Patterns section that describes common pitfalls around Gremlin readability, maintainability and performance. https://t.co/NwUNY7zFqY #graphdb”

Dive in our review of Ontotext’s five most fascinating blog posts for 2018, based on your interest.

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.

Ontotext's review of the top 5 automation and semantic technology trends to look for in 2019.

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

The biggest challenge for enterprise IT is connecting data because unconnected data is a liability.

Knowledge graph applications can be technically challenging and time-consuming to build, but enterprises are starting to find that the work can lead to positive returns.

Personally, I am always most excited by technology when it can have a positive impact on society and the lives of ordinary people. Curing…

“Q: which product taxonomies are used in the Shopping / Ad industries? Google's Product Taxonomy is a de facto standard but it lacks freshness, coverage and/or finesse in some areas. I'm also looking at product taxonomies from Amazon, Ebay, Walmart, Target, Groupon. What else?”

Discover what's new in the 3.5 release of the Neo4j graph database, including a Go language driver, full-text search and indexing, TLS encryption and more.

Today we want to make this available in a first release under an Apache License for you to try out and test. It works with Neo4j from 3.4.x

I believe, converting bunch of CSV, JSON or XML files to an RDF format is a very popular task for people dealing with Semantic Web, Linked…

Data Lakes: sometimes we love them, sometimes we hate them. So how do we love them more and hate them less? One way is to use a graph of…

We’ve developed a novel and robust neural network solution for detecting if an item is present in a list. We’ll outline the research and…

by Dr. Xu Yu, CEO and Dr. Victor Lee, Director of Product Management [Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics] Until recently, graph database designs fulfilled some but not all of the graph analytics...

I had a recent conversation with a senior data manager for a large corporate enterprise who is in the process of setting a long term data…