The upsurge in the scope and performances of artificial brains sometimes brings a new light on human cognition. Semantic layers and knowledge graphs offer a good example of a return to classics, in that case with Greek philosophers’ ontologies.
According to their philosophical origins, ontologies are systematic accounts of existence for whatever can make sense in an universe of discourse. From that starting point four basic observations can be made:
- Ontologies are structured set of names denoting symbolic (aka cognitive) representations.
- These representations can stand at different epistemic levels: terms or labels associated to representations (nothing is represented), ideas or concepts (sets of terms), instances of identified objects or phenomena, categories (sets of instances), documents.
- Ontologies are solely dedicated to the validity and internal consistency of the representations. Not being concerned with external validity, As they are not meant to support empirical purposes.
- Yet, assuming a distinction between epistemic levels, ontologies can be used to support both internal and external consistency of models.
That makes models a refinement of ontologies as they are meant to be externally consistent and serve a purpose.
- Open Ontologies: From Silos to Architectures
- The Finger & the Moon: Fiddling with Definitions
- Reflections for the Perplexed
- Knowledge ArchitectureOpen Ontologies: From Silos to Architectures
- Ontologies & Enterprise Architecture
- Conceptual Models & Abstraction Scales
- Models & Meta-models
- Open Concepts
- Open Concepts Will Make You Free
- Conceptual Thesaurus: Overview
- Conceptual Thesaurus: Typical Use Cases
- Stanford Knowledge Systems Laboratory: “What is an Ontology ?”
- John F. Sowa, “Ontology“
- Zachman Framework
- Davis, Shrobe, and Szolovits: “What is Knowledge Representation“