Epistemic Description Logic
Origin. Donini et al. (1992). Combine DL with epistemic operators. Knowledge about ABox: K. Introspection: what is known. Foundation for ontology-based epistemic reasoning.
Models. DL knowledge bases with epistemic operator. K φ: φ is known (true in all models). Nonmonotonic via epistemic closed world. Multi-agent variants.
Formalism.
Epistemic operator: K C: concept C is known K-concepts: add K to DL concept language
Extended concepts: C ::= A | ¬C | C ⊓ D | ∃R.C | K C Epistemic on top of ALC (typically).
Semantics: Epistemic interpretation: set of DL models. E ⊨ K C(a) iff for all I ∈ E: I ⊨ C(a) "Known in all compatible models."
Epistemic closed world: K-minimal model: assume K φ for minimal φ. Nonmonotonic: closed-world on K.
Example: TBox: Employee ⊑ Person ABox: Employee(john) K Person(john): known (derivable) ¬K HasBonus(john): not known (open world)
Query: K ∃HasProject.Important(john)? "Is it known John has an important project?"
Complexity: Epistemic ALC: EXPTIME (same as ALC). With closed-world: higher complexity. Undecidable for some combinations.
Symbols.
| Symbol | Unicode | Name | Meaning |
|---|---|---|---|
| K | — | Knows | Epistemic operator |
| ⊓ | U+2293 | Intersection | Concept and |
| ⊑ | U+2291 | Subsumption | Subclass |
| ⊨ | U+22A8 | Entails | Epistemic satisfaction |
Metatheory. EXPTIME for epistemic ALC. Closed-world increases complexity. Relationship to autoepistemic logic.
Applies to. Ontology queries. Incomplete knowledge. Data integration. Closed-world reasoning. Multi-agent ontologies.
Limitations. Complexity concerns. CWA interactions. Multi-agent harder. Tool support limited.
© 2026 Lingenic LLC