The causal pattern is a proposed ontology design pattern for representing the structure of causal relations in a knowledge graph. This pattern is grounded in the concepts defined and used by the CausalAI community i.e., Causal Bayesian Networks and do-calculus.
This pattern is grounded in the concepts defined and used by the CausalAI community i.e., Causal Bayesian Networks and do-calculus.
Nov 6, 2023 · This pattern is grounded in the concepts defined and used by the CausalAI community i.e., Causal Bayesian Networks and do-calculus.
In this paper we present an ontology design pattern for modeling the causal ... sign pattern for representing recurrent situations. CoRR abs/2101.00286 ...
The WOP workshop series covers issues related to quality in ontology design and ontology design patterns (ODPs) for data and knowledge engineering in ...
Sep 7, 2022 · Most causal information in the medical domain is represented in uncertain or vague statements, the truth value of which cannot be established or ...
Jan 1, 2021 · In this paper, we present an Ontology Design Pattern for representing situations that recur at regular periods and share some invariant factors ...
Missing: Causality. | Show results with:Causality.
In this paper, we propose an ontology design pattern for the concept of "explanation". The motivation behind this work comes from our research, ...
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Jan 5, 2021 · In this paper, we present an Ontology Design Pattern for representing situations that recur at regular periods and share some invariant ...
Missing: Causality. | Show results with:Causality.
Jan 1, 2021 · This paper presents an Ontology Design Pattern for representing situations that recur at regular periods and share some invariant factors, ...