A Unifying Perspective on Knowledge Updates

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

We introduce an abstract update framework based on viewing a knowledge base as theset of sets of modelsof its elements and performing updates by introducing additional interpretations –exceptions– to the sets of models of elements of the original knowledge base. In [36], an instantiation of this framework for performing rule updates has been shown to semantically characterise one of the syntax-basedrule update semantics. In this paper we show that the framework can also capture a wide range of both model- and formula-based belief update operators which constitute the formal underpinning of existing approaches toontology updates. Exception-driven operators thus form a unifying perspective on both ontology and rule updates, opening new possibilities for addressingupdates of hybrid knowledge basesconsisting of both an ontology and a rule component.
Original languageUnknown
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Pages372-384
Volume7519
ISBN (Print)978-3-642-33352-1
DOIs
Publication statusPublished - 1 Jan 2012
Event13th European Conference on Logics in Artificial Intelligence (JELIA 2012) -
Duration: 1 Jan 2012 → …

Conference

Conference13th European Conference on Logics in Artificial Intelligence (JELIA 2012)
Period1/01/12 → …

Cite this

Leite, J. A. C. P. (2012). A Unifying Perspective on Knowledge Updates. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7519, pp. 372-384). Springer. https://doi.org/10.1007/978-3-642-33353-8_29