Me: There is a concept known as "basic formal ontology" being used in academic discussions. In what way is the term "ontology" used in this context?
ChatGPT: Great question — because here “ontology” is being used in a technical, methodological sense, not in the classic metaphysical “what exists?” sense.
When people talk about Basic Formal Ontology (BFO), the term ontology means:
A structured, explicit framework for categorizing and relating types of entities in a domain of knowledge.
In other words: it’s not primarily a theory about reality itself — it’s a conceptual scaffold for organizing information about reality in a consistent way.
Let’s unpack that.
1. “Ontology” here = representational framework
In BFO and similar projects (often used in bioinformatics, information science, and knowledge engineering), ontology refers to:
- A controlled vocabulary of categories (like object, process, quality, role)
- With formal definitions
- And explicit relations between them (part-of, depends-on, participates-in, etc.)
So ontology becomes something closer to:
A grammar for describing reality in data and models.
Not metaphysics as speculation — but formalized classification.
2. What makes it “formal”?
“Formal” means that the ontology is:
- Logically precise
- Machine-readable
- Rule-governed
- Designed to avoid ambiguity
BFO is typically implemented using description logics and semantic web standards (like OWL), so that databases, AI systems, and researchers can share the same conceptual structure.
So this is ontology as infrastructure for interoperability.
3. What makes it “basic”?
“Basic” means domain-neutral.
BFO does NOT describe biology, media, economics, or culture directly. Instead it provides:
High-level categories such as:
- Continuants (things that persist through time)
- objects, material entities, qualities
- Occurrents (things that happen)
- processes, events, temporal intervals
- Dependent entities
- roles, functions, dispositions
These are intended as foundational building blocks that domain ontologies (for medicine, neuroscience, archives, etc.) can plug into.
4. How this differs from philosophical ontology
Classical ontology asks:
What fundamentally exists?
BFO-style ontology asks:
How should we systematically represent what exists so that humans and machines agree?
So the shift is from:
Being → Representation of being
or more precisely:
Metaphysics → Applied ontological engineering
5. Important philosophical influence (and tension)
Interestingly, BFO is not philosophically neutral. It draws heavily from:
- Aristotelian realism
- Scientific realism
- Substance/property distinctions
- Process metaphysics (to a degree)
So although it presents itself as “technical”, it quietly embeds:
- A realist stance (there is a mind-independent reality)
- A categorical structure of that reality
- A preference for stable ontological types
Which becomes relevant when people from phenomenology, media theory, or constructivist traditions push back.
Given your background in phenomenology and media production theory: this tension is especially interesting 😉
6. In one sentence
In Basic Formal Ontology, “ontology” means:
A formally specified, domain-independent conceptual framework for classifying entities and relations so that knowledge systems can interoperate consistently.
Not “what exists?” — but “how we agree to model what exists.”
If you want, I can also explain:
- How BFO differs from Heideggerian or Husserlian ontology
- Why ontologies are controversial in social sciences and media studies
- How this connects to epistemology vs ontology (your earlier question 👀)
- Or how ontological modeling appears in media archives, metadata systems, and cultural heritage databases
Just say the word.
