Links and Anchors: Connecting DHT Data Together| developer.holochain.org
This article reviews graph databases, as a storage technology similar to relational databases like Postgres and document stores like MongoDB. We review the basic concepts of graph DBs, some example engines, use cases in which treating data as a graph can be useful. We explore a project that uses a graph DB to store data about cloud systems, and we use a graph DB to model a router+firewall’s configuration file, including queries over the stored data, which we also compare to a similar Postgr...| blog.jreyesr.com
Boost productivity and interoperability with open data standards. Liip and Entryscape bring Linked Data publishing to Switzerland.| Liip
There's an effort on the network to connect the Fediverse's federation powers to Solid's data storage and access capabilities.| We Distribute
Note: Many of these questions are now answered in much more depth in my| www.w3.org
What is ontology? An ontology is a formal system for modeling concepts and their relationships. Unlike relational database systems, which are essentially interconnected tables, ontologies put a premium on the relationships between concepts by storing the information in a graph database, or triplestore. (The following examples use data derived from PLOS, which makes all of its Open Access data and content available.) Relational databases are good at representing tabular data for one-to-one rel...| Boxes and Arrows