Google has moved from Search to Knowledge, and Focusing on Answering questions with knowledge graph entity information provides has led to answering queries w…

Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.

When used for KR, we can treat the terms 'knowledge graph' and 'ontology' as interchangeable. But ontologies also have a broader use as specifications for dynamic, ontology-driven applications, a distinction this article emphasizes.

All knowledge panels may be contextual knowledge panels based upon the words in a query that triggers those panels to appear in search results

Google introduced to the general public the term Knowledge Graph (“Things not Strings”) when they added the information boxes that you see to the right-hand side of many searches. However, the benefits of storing information indexed around the entity and its properties and relationships are well-kno

Any JSON at all.

This is the first in a short series introducing Knowledge Graphs. It covers just the basics, showing how to write, store, query and work with graph data using RDF (short for Resource Description Fo…

I would like to point to a crowd-funding of 📊 @rawgraphs, a project I find super interesting for a while and now they want to rewrite it. I think SPARQL and RAWGraphs can become best friends and so do they so help them getting there! https://t.co/VI0gK0ZZIS pic.twitter.com/UszINmFyuw— Adrian Gschwend (@linkedktk) October 2, 2019

This installment leaves the CLI behind to show how we consume a knowledge graph within our programmatic environments. The framework I use to work with RDF is dotNetRdf.

Customers continue to want greater visibility and control over the services they use within AWS. When it comes to our database services, customer requests typically revolve around providing greater insights into the query optimization and processing within a given database. Database developers and administrators are mostly already familiar with the idea and use of database […]

Although we use the term “knowledge” broadly used in the AI and graph database community, it has many different meanings based on the…

In order to facilitate the accesses of general users to knowledge graphs, an increasing effort is being exerted to construct graph-structured queries of given natural language questions. At the...

A thorough introduction to knowledge graphs

Taxonomies, dogs, and knowledge graphs. Naming the Edges Blog Part 1 Post from @taxobob

Etsy has an uncontrolled inventory; unlike many marketplaces, we offer an unlimited array of one-of-a-kind items, rather than a defined set of uniform goods. Etsy sellers are free to list any polic…

Eighteenth-Century Poetry Archive (ECPA) is a collaborative digital collection and research project devoted to the poetry of the long eighteenth century.

Enterprises should consider semantic and Enterprise Knowledge Graph technology for their Data Governance efforts. Enterprise Knowledge Graphs describe a linked set of information that meaningfully brings together data and metadata silos.

In recent years, there has been a surge of interests in interpretable graph reasoning methods. However, these models often suffer from limited performance when working on sparse and incomplete...

Case Study: In the geoscience community, collaboration is critical. Different disciplines — engineering geologists, geochemists, hydrologists — need to share their findings with each other to address big questions about the earth. Ontologies and knowledge graph technology is leveraged with COR to manage and exchange terms and vocabularies that assist scientists in publishing, discovering, and reusing data.

Roles are sets of structurally similar nodes that are more similar to nodes inside the set than outside, whereas communities are sets of nodes with more connections inside the set than outside...

A powerful combination for the semi-automatic generation of insights

Five diverse technology companies show how it's done.

Visualize Kafka Streams with Neo4j by taking any data, turning it into a graph, leveraging graph processing, and piping the results back to Apache Kafka, adding visualizations to your event streaming applications.

Your one-stop introduction to the world of graph tech.