Loose Edges

In this episode Justin and Marsel talk to good friend Guy Royce, in person!! Dive into our show with a property graph implementation and what is new with Redis. Guy, has done a fantastic job promoting an implementation of Dungeons and Dragons, what a great way to learn about property graphs https://www.youtube.com/watch?v=dJ6giTCZ198 Checkout some of his other talks as well, web assmebly: https://www.youtube.com/watch?v=C4fxz0004Nc

Discussion about, RDF*, DBT ... and so much more in our December special!

In this episode of Loose Edges meet Google's as Lewis and Marsel discuss new and upcoming features of Google EKG. Check it out! https://cloud.google.com/enterprise-knowledge-graph/docs/overview

In this episode of Loose Edges Marsel and Justin interview Vladimir Alexiev, Chief Data Architect at Ontotext. - We explore Application Centric Data and how to catch defects in various modeling approaches. - Discuss Ontotext products: new GraphDB capabilities such as search and connectors, GraphQL capabilities, Ontotext Refine, Ontotext Reconcile. - Ontotext "10 step guide to KGs". Start a KG project with "competency questions". - Semantic transformation: best practices and approaches: declarative and generated transformations . - Polyglot modeling: what is it and where it is manifesting itself in various data communities (from HL7 FHIR to YAML-LD). - Standards. Working Groups. How to get involved, what are some of the best practices from Vladimir's perspective and what should an aspiring semantic engineer and ontologist be aware of. - Common upper ontologies / Reusable ontologies / simple vs. broad, hear some examples from a dozen different industries.

Seasoned graph developer and standards heavy hitter Jeff Mixter guest stars in this episode of Loose Edges. Listen to our interview as he explains adoption challenges and best practices in this episode. Jeff, Justin and Marsel discuss parallels and struggles across industries and adopting best practices and what patterns have been successful in engineering adoption.

Graph heavy hitter Dean Allemang comes to Loose edges to talk about SPARQL pipelines. And so so much more. Don't miss out in this episode of loose edges and how to get more involved with the community of graph engineers.

A journey from modeling to database storage to use cases. Listen to Monil Shah explain best use cases for graph models. Building search facets from your graph? Modeling Covid symptoms from your cough? Diagnosing your car like a pro mechanic? Listen to us solve a broad array of issues where graph can fit and be the framework or just another tool in the tool box

In this episode Marsel and Justin discuss domain modeling approaches, data interoperability, and ways to build robust (non-brittle) systems.

In this episode Marsel and Justin discuss things to consider when setting up your workspace as a semantic web professional.

In this episode we explore challenges between tabular data, interfaces and how we can do better. It is our starting episode, wish us luck and enjoy listening. References: Introduction of Microsoft Excel 1990 (yes you are that old)