Using ontology-based data summarization to develop semantics-aware recommender systems

T Di Noia, C Magarelli, A Maurino, M Palmonari… - The Semantic Web: 15th …, 2018 - Springer
In the current information-centric era, recommender systems are gaining momentum as tools
able to assist users in daily decision-making tasks. They may exploit users' past behavior …

Mining cardinalities from knowledge bases

E Muñoz, M Nickles - Database and Expert Systems Applications: 28th …, 2017 - Springer
Cardinality is an important structural aspect of data that has not received enough attention in
the context of RDF knowledge bases (KBs). Information about cardinalities can be useful for …

SHAPEness: A SHACL-Driven Metadata Editor

R Paciello, L Trani, D Bailo, V Vinciarelli… - Research Conference on …, 2022 - Springer
Abstract The Shapes Constraint Language (SHACL) has been recently introduced as a W3C
recommendation to define constraints for validating RDF graphs. In this paper a novel …

Statistical relation cardinality bounds in knowledge bases

E Muñoz, M Nickles - Transactions on Large-Scale Data-and Knowledge …, 2018 - Springer
There is an increasing number of Semantic Web knowledge bases (KBs) available on the
Web, created in academia and industry alike. In this paper, we address the problem of lack …

[PDF][PDF] Urban Data Consistency in RDF: A Case Study of Curitiba Transportation System

M Halfeld-Ferrari, CS Hara, NP Kozievitch, FR Uber - inf.ufpr.br
Urban Computing has an important role in providing new tools for urban mobility. In this
paper integrity constraints and blank nodes are used in an RDF database to minimize extra …

[PDF][PDF] Using Ontology-based Data Summarization to Develop Semantics-aware Recommender Systems

VW Anelli, T Di Noia, A Maurino, M Palmonari… - CEUR WORKSHOP …, 2018 - ceur-ws.org
In the current information-centric era, recommender systems are gaining momentum as tools
able to assist users in daily decision-making tasks. Within the recommendation process …

[CITATION][C] Ontology-based Linked Data Summarization in Semantics-aware Recommender Systems.