Multi-attribute decision making with weighted description logics

Acar, Erman ; Fink, Manuel ; Meilicke, Christian ; Thorne, Camilo ; Stuckenschmidt, Heiner

pruvsi_paper.pdf - Published

Download (591kB)

Additional URL:
URN: urn:nbn:de:bsz:180-madoc-423409
Document Type: Article
Year of publication: 2017
The title of a journal, publication series: IfCoLog Journal of Logics and its Applications
Volume: 4
Issue number: 7
Page range: 1973-1996
Place of publication: London
Publishing house: College Publications
ISBN: 978-1-84890-252-7
ISSN: 2055-3706 , 2055-3714
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Keywords (English): Decision Making , Description Logics , Protege
Abstract: We introduce a decision-theoretic framework based on Description Logics (DLs), which can be used to encode and solve single stage multi-attribute decision problems. In particular, we consider the background knowledge as a DL knowledge base where each attribute is represented by a concept, weighted by a utility value which is asserted by the user. This yields a compact representation of preferences over attributes. Moreover, we represent choices as knowledge base individuals, and induce a ranking via the aggregation of attributes that they satisfy. We discuss the benefits of the approach from a decision theory point of view. Furthermore, we introduce an implementation of the framework as a Protégé plugin called uDecide. The plugin takes as input an ontology as background knowledge, and returns the choices consistent with the user’s (the knowledge base) preferences. We describe a use case with data from DBpedia. We also provide empirical results for its performance in the size of the ontology using the reasoner Konclude.

Dieser Eintrag ist Teil der Universitätsbibliographie.

Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

Metadata export


+ Search Authors in

+ Download Statistics

Downloads per month over past year

View more statistics

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item