In this paper we present SPREFQL, an extension of the SPARQL language that allows
appending a" PREFER" clause that expresses 'soft'preferences over the query results …

Sometimes one does not want all the solutions to a query but instead only those that are
most desirable according to user-specified preferences. If a user-specified preference …

Current retrieval and recommendation approaches rely on hard-wired data models. This
hinders personalized customizations to meet information needs of users in a more flexible …

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 …

Purpose The purpose of this paper is to address the need for new approaches in locating
items that closely match user preference criteria due to the rise in data volume of knowledge …

This thesis concerns the definition of a flexible approach for querying both crisp and fuzzy
RDF graphs. This approach, based on the theory of fuzzy sets, makes it possible to extend …

Recommender systems help consumers to find products online. But because many content-
based systems work with insufficient data, recent research has focused on enhancing item …

Recently, the Web has been changing more and more to what is called the Social Semantic
Web. As a consequence, the ranking of search results no longer depends solely on the …

Recommender Systems are unfamiliar to ordinary people. However, they are almost
everywhere. In a world that overwhelms us with relevant and irrelevant information, they …

Top-k and skyline techniques have been used to address preference based queries for
effective service selection. However, they do not consider the dependencies between …