Blog
Writing on knowledge graphs, ontologies, and data-centric architecture
Articles and working notes from the people at Semantic Arts, newest first.
Team Building—The Importance of an Ontology
by Peter Winstanley | Knowledge Graphs & Ontologies
A shared vocabulary is what lets people across a company understand each other. Why building an enterprise ontology is as much a team-building exercise as a technical one.
From Labels to Verbs—Child’s Play!
by Peter Winstanley | Knowledge Graphs & Ontologies
Children learn labels first and verbs later, and enterprises tend to learn semantics the same way, starting with taxonomies. How gist’s relationships let you go straight to statements.
The Case for Enterprise Ontology
by Dave McComb | Business Case & ROI
Three reasons to bring all of an enterprise’s data into a single core: economy, use cases that cross domains, and the serendipity of connections nobody planned for.
How a “User” Knowledge Graph Can Help Change Data Culture
by Dave McComb | Knowledge Graphs & Ontologies
How a knowledge graph of what an organization knows about its people allows access rules down to a single fact, and how it could cut the duplicated personal data that identity systems spread around.
Zero Copy Integration and Radical Simplification
by Dave McComb | Data-Centric Architecture
Copies of data drive up storage, energy, and labor costs. How data-centric, zero-copy integration and FAIR data put enterprises on a path to simpler systems.
A Knowledge Model for Explainable Military AI
by Dave McComb | AI-Ready Data
Forrest Hare of Summit Knowledge Solutions on the DIA Knowledge Model, which uses the Basic Formal Ontology to bring moving and stationary objects into one intelligence picture.
How US Homeland Security Plans to Use Knowledge Graph
by Dave McComb | Knowledge Graphs & Ontologies
At the Data-Centric Architecture Forum, Ryan Riccucci of U.S. Border Patrol described the ontology Homeland Security is building to share data across the agency, starting with drone smuggling at the border.
Six Axes of Decoupling
by Dave McComb | Data-Centric Architecture
Systems that look decoupled often stay coupled in hidden ways. Six axes to check: technology, destination, syntax, semantics, identity, and nomenclature.
Documents, Events, and Actions
by Dave McComb | Knowledge Graphs & Ontologies
Enterprise systems have long treated an invoice or a purchase order as if it were the event it records. Why data-centric accounting needs to tell the document, the event, and the action apart.
The Data-Centric Revolution: ABox Versioning
by Dave McComb | Knowledge Graphs & Ontologies
A query can break with no change to the ontology at all, when the way the data is used shifts. ABox versioning flags those changes, above all an average cardinality crossing 1.00, as major, minor, and patch versions.
gist: Buckets, Buckets Everywhere: Who Knows What to Think
by Michael Uschold | gist & Open Standards
Classes, collections, and tags are three different kinds of buckets. How to tell them apart and how to model each one in OWL and gist.
Chemical Manufacturer: Faceted Taxonomies
by Semantic Arts | Manufacturing & Industrial
Capturing interrelations of information for relevance can be difficult, even with NLP. More often companies will seek to work in taxonomy space in their journey toward richer implementations of knowledge graphs for automation adoption. Our consulting services leveraged this approach […]
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