Making decisions over contextual ontologies

Erman Acar, Rafael Penaloza, Livia Predoiu

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Various probabilistic description logics (DLs) have been proposed for dealing with the uncertainty endemic to many domain knowledge representation scenarios. A particular class of such formalisms focuses on representing knowledge that is certain, but holds only in some uncertain contexts. In this paper, we consider an extension of those formalisms that allows an agent to influence the choice of the context and minimise its subjective cost. This is achieved through a combination of the light-weight DL EL and influence diagrams, a graphical model for representing decision situations, and their potential costs, under uncertainty.

Original languageEnglish
Title of host publicationDescription Logics 2019 International Workshop on Description Logics
Subtitle of host publicationProceedings of the 32nd International Workshop on Description Logics, DL 2019; Oslo; Norway; 18 June 2019 through 21 June 2019
EditorsMantas Šimkus, Grant Weddell
Number of pages12
Publication statusPublished - 2019
Event32nd International Workshop on Description Logics, DL 2019 - Oslo, Norway
Duration: 18 Jun 201921 Jun 2019

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
ISSN (Print)1613-0073


Conference32nd International Workshop on Description Logics, DL 2019


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