TY - GEN
T1 - Making decisions over contextual ontologies
AU - Acar, Erman
AU - Penaloza, Rafael
AU - Predoiu, Livia
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85067199932&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067199932&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85067199932
T3 - CEUR Workshop Proceedings
SP - 1
EP - 12
BT - Description Logics 2019 International Workshop on Description Logics
A2 - Šimkus, Mantas
A2 - Weddell, Grant
PB - CEUR
T2 - 32nd International Workshop on Description Logics, DL 2019
Y2 - 18 June 2019 through 21 June 2019
ER -
