Semantic Data ain't the Golden Path (yet)
Why semantic data tools still make domain modeling, schema evolution, and code generation harder than they should be.
data modeling
Building a Dota Ontology, Part 4: Affinities and Attribute Effects
Extend a Dota 2 ontology so different kinds of ability affinity can describe how one effect changes another.
Building a Dota Ontology, Part 3: Modeling Affinities
Model Dota 2 ability affinities as relationships and explore how an ontology can represent synergy between spells.
Building a Dota Ontology, Part 2: describing the world of Dota
Describe Dota 2 heroes and abilities in an ontology to reason about why particular spells work well together.
Building a Dota Ontology, Part 1: Introduction
Start a Dota 2 ontology in Protégé with the goal of reasoning about interactions between heroes and abilities.
Making Ontologies Practical through Metaprogramming
Generate application code from ontology data to make semantic models more practical for everyday engineering.
Engineering Knowledge: Identity
Global, durable identifiers can help knowledge systems keep their data meaningful as software and ownership change.
Data Languages
Every data language makes tradeoffs about validation, domain fit, and how much information a program can express.