Paper Info
Title
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting
Abstract
Preference representation and reasoning play a central role in supporting users with complex and multi-factorial decision processes. In fact, user tastes can be used to filter information and data in a personalized way, thus maximizing their expected utility. Over the years, many frameworks and languages have been proposed to deal with user preferences. Among them, one of the most prominent formalism to represent and reason with (qualitative) conditional preferences (CPs) are conditional preference theories (CP-theories). In this paper, we show how to combine them with Semantic Web technologies in order to encode in a standard SPARQL 1.1 query the semantics of a set of CP statements representing user preferences by means of RDF triples that refer to a "preference" OWL ontology. In particular, here we focus on context-uniform conditional (cuc) acyclic CP-theories [Artif. Intell. 175 2011, 1053-1091]. The framework that we propose allows a standard SPARQL client to query Linked Data datasets, and to order the results of such queries relative to a set of user preferences.
Year
DOI
Venue
2020
10.3233/SW-180339
SEMANTIC WEB
Keywords
DocType
Volume
Preferences,ceteris paribus,CP-theories,CP-nets,Linked Data,preference queries,SPARQL,DBpedia
Journal
11
Issue
ISSN
Citations 
3
1570-0844
2
PageRank 
References 
Authors
0.36
25
6
Name
Order
Citations
PageRank
Vito Walter Anelli19118.45
Renato De Leone211817.54
Tommaso Di Noia31857152.07
Thomas Lukasiewicz42618165.18
Jessica Rosati5604.45
Jessica Rosati6604.45