Axiomatization of General Concept Inclusions in Probabilistic Description Logics
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Probabilistic interpretations consist of a set of interpretations with a shared domain and a measure assigning a probability to each interpretation. Such structures can be obtained as results of repeated experiments, e.g., in biology, psychology, medicine, etc. A translation between probabilistic and crisp description logics is introduced, and then utilized to reduce the construction of a base of general concept inclusions of a probabilistic interpretation to the crisp case for which a method for the axiomatization of a base of GCIs is well-known.
Details
Original language | English |
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Title of host publication | Proceedings of the 38th German Conference on Artificial Intelligence (KI 2015), Dresden, Germany |
Editors | Steffen Hölldobler, Sebastian Rudolph, Markus Krötzsch |
Publisher | Springer Verlag |
Pages | 124-136 |
Number of pages | 13 |
Publication status | Published - 21 Sept 2015 |
Peer-reviewed | Yes |
Publication series
Series | Lecture Notes in Computer Science, Volume 9324 |
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ISSN | 0302-9743 |
External IDs
Scopus | 84951872571 |
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ORCID | /0000-0003-0219-0330/work/153109404 |