User preferences play a central role in supporting complex and multifactorial decision processes. Every personalized information filtering system should exploit a preferences model of the user in order to match her interests as much as possible. In a Linked Open Data (LOD) setting, the problem is twofold. On the one hand, there is the need of a standard way to represent complex preferences. On the other hand, we need tools able to query LOD datasets by taking into account user’s preferences. In this paper, we propose a vocabulary to represent statements formulated in terms of ceteris paribus semantics. We then show (i) how to represent a CP-net by means of this vocabulary and (ii) how to embed such compact preference model in a SPARQL 1.1 query in order to access semantic data in a personalized way.
Preference queries with ceteris paribus semantics for linked data / Rosati, Jessica; DI NOIA, Tommaso; Lukasiewicz, Thomas; De Leone, Renato; Maurino, Andrea. - 9415:(2015), pp. 423-442. (Intervento presentato al convegno International Federated Conferences on On the Move to Meaningful Internet Systems, OTM 2015 tenutosi a grc nel 2015) [10.1007/978-3-319-26148-5_28].
Preference queries with ceteris paribus semantics for linked data
ROSATI, JESSICA;DI NOIA, Tommaso;
2015-01-01
Abstract
User preferences play a central role in supporting complex and multifactorial decision processes. Every personalized information filtering system should exploit a preferences model of the user in order to match her interests as much as possible. In a Linked Open Data (LOD) setting, the problem is twofold. On the one hand, there is the need of a standard way to represent complex preferences. On the other hand, we need tools able to query LOD datasets by taking into account user’s preferences. In this paper, we propose a vocabulary to represent statements formulated in terms of ceteris paribus semantics. We then show (i) how to represent a CP-net by means of this vocabulary and (ii) how to embed such compact preference model in a SPARQL 1.1 query in order to access semantic data in a personalized way.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
