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.
CITATION STYLE
Rosati, J., Di Noia, T., Lukasiewicz, T., De Leone, R., & Maurino, A. (2015). Preference queries with ceteris paribus semantics for linked data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9415, pp. 423–442). Springer Verlag. https://doi.org/10.1007/978-3-319-26148-5_28
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