Authors:
Michael Chan
;
Jos Lehmann
and
Alan Bundy
Affiliation:
University of Edinburgh, United Kingdom
Keyword(s):
Ontology, Automated ontology evolution, Ontology conflict detection, Higher-order logic, Ontology repair plans, Isabelle/HOL, Development graphs, GALILEO.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Collaboration and e-Services
;
e-Business
;
Enterprise Information Systems
;
Enterprise Software Technologies
;
Intelligent Problem Solving
;
Knowledge Engineering and Ontology Development
;
Knowledge Reengineering
;
Knowledge Representation
;
Knowledge-Based Systems
;
Semantic Web
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
The GALILEO system aims at realising automated ontology evolution. This is necessary to enable intelligent agents to manipulate their own knowledge autonomously and thus reason and communicate effectively in open, dynamic digital environments characterised by the heterogeneity of data and of representation languages. Our approach is based on patterns of diagnosis of faults detected across multiple ontologies. Such patterns allow to identify the type of repair required when conflicting ontologies yield erroneous inferences. We assume that each ontology is locally consistent, i.e. inconsistency arises only across ontologies when they are merged together. Local consistency avoids the derivation of uninteresting theorems, so the formula for diagnosis can essentially be seen as an open theorem over the ontologies. The system's application domain is physics; we have adopted a modular formalisation of physics, structured by means of locales in Isabelle, to perform modular higher-order reaso
ning, and visualised by means of development graphs.
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