Acquisition of Terminological Knowledge in Probabilistic Description Logic
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
For a probabilistic extension of the description logic 𝓔𝓛⊥, we consider the task of automatic acquisition of terminological knowledge from a given probabilistic interpretation. Basically, such a probabilistic interpretation is a family of directed graphs the vertices and edges of which are labeled, and where a discrete probability measure on this graph family is present. The goal is to derive so-called concept inclusions which are expressible in the considered probabilistic description logic and which hold true in the given probabilistic interpretation. A procedure for an appropriate axiomatization of such graph families is proposed and its soundness and completeness is justified.
Details
Original language | English |
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Title of host publication | KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, Berlin, Germany, September 24-28, 2018, Proceedings |
Editors | Frank Trollmann, Anni-Yasmin Turhan |
Place of Publication | Berlin, Germany |
Publisher | Springer, Berlin [u. a.] |
Pages | 46-53 |
Number of pages | 8 |
Publication status | Published - 24 Sept 2018 |
Peer-reviewed | Yes |
Publication series
Series | Lecture Notes in Computer Science, Volume 11117 |
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ISSN | 0302-9743 |
External IDs
Scopus | 85054538349 |
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ORCID | /0000-0003-0219-0330/work/153109381 |