@inbook{57c609d87b0743d0bdc82682293face3,
title = "An Argument-Based Approach to Using Multiple Ontologies",
abstract = "Logic-based argumentation offers an approach to querying and revising multiple ontologies that are inconsistent or incoherent. A common assumption for logic-based argumentation is that an argument is a pair (Phi, alpha) where Phi is a minimal subset of the knowledgebase such that Phi is consistent and Phi entails the claim alpha. Using dialogue games, agents (each with its own ontology) can exchange arguments and counterarguments concerning formulae of interest. In this paper, we present a novel framework for logic-based argumentation with ontological knowledge. As far as we know, this is the first proposal for argumentation with multiple ontologies via dialogues. It allows two agents to discuss the answer to queries concerning their knowledge (even if it is inconsistent) without one agent having to copy all of their ontology to the other, and without the other agent having to expend time and effort merging that ontology with theirs. Furthermore, it offers the potential for the agents to incrementally improve their knowledge based on the dialogue by checking how it differs from the other agent's.",
author = "Elizabeth Black and Anthony Hunter and Pan, {Jeff Z.}",
year = "2009",
doi = "10.1007/978-3-642-04388-8_7",
language = "English",
isbn = "978-3-642-04387-1",
volume = "5785",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "68--79",
editor = "L Godo and A Publiese",
booktitle = "Scalable Uncertainty Management",
note = "3rd International Conference on Scalable Uncertainty Management ; Conference date: 28-09-2009 Through 30-09-2009",
}