Log-Linear Description Logics

Niepert, Mathias ; Noessner, Jan ; Stuckenschmidt, Heiner

DOI: https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-359
URL: https://www.aaai.org/ocs/index.php/IJCAI/IJCAI11/p...
Additional URL: https://www.researchgate.net/publication/220814270...
Document Type: Conference or workshop publication
Year of publication: 2011
Book title: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 11)
Page range: 2153-2158
Conference title: IJCAI 2011
Location of the conference venue: Barcelona, Spain
Date of the conference: July 16-22, 2011
Publisher: Walsh, Toby
Place of publication: Menlo Park, Calif.
Publishing house: AAAI Press
ISBN: 978-1-57735-512-0
Publication language: English
Institution: Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: Log-linear description logics are a family of probabilistic logics integrating various concepts and methods from the areas of knowledge representation and reasoning and statistical relational AI. We define the syntax and semantics of log-linear description logics, describe a convenient representation as sets of first-order formulas, and discuss computational and algorithmic aspects of probabilistic queries in the language. The paper concludes with an experimental evaluation of an implementation of a log-linear DL reasoner.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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