We introduce a novel Ontology-based Argumentation Framework (OAF) that links a logic-based argumentation formalism and description logic ontologies. We show how these two formalisms can be tightly coupled by observing a few simple restrictions, and provides features not available in either formalism alone. Our work is evaluated in a large case study on decision-making in treatment choice in breast cancer, where rules are developed from the results of published clinical trials, and we present a small subset of this to demonstrate the use of the system. We show that OAF provides five advantages: (1) facilitating the clear use of shared definitions between multiple authors; (2) enabling us to match terms in the ontology and rules with those in the specific domain literature; (3) providing a close fit between structure of clinical trials and the structure of our rules; (4) delivering significant economies in the size of the rule-base compared to existing approaches; (5) allowing us take advantage of developments in both ontological and argumentative approaches. We also demonstrate that even a restricted language such as ours is sufficient to capture enough information to generate arguments that are useful for clinical practice. An early prototype implementation is available.
In REF the authors introduce a novel Ontology-based Argumentation Framework (OAF) that links a logicbased argumentation formalism and description logic ontologies.
Harnessing Ontologies for Argument-Based Decision-Making in Breast Cancer
19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007)
19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007)
Computer Science