Iacopo Vagliano
Iacopo Vagliano
ZBW - Leibniz Information Centre for Economics
Adresse e-mail validée de zbw.eu - Page d'accueil
TitreCitée parAnnée
A systematic literature review of Linked Data‐based recommender systems
C Figueroa, I Vagliano, OR Rocha, M Morisio
Concurrency and Computation: Practice and Experience 27 (17), 4659-4684, 2015
Redyal: A dynamic recommendation algorithm based on linked data
I Vagliano, C Figueroa, OR Rocha, M Torchiano, CF Zucker, M Morisio
An ontology-based contextual pre-filtering technique for recommender systems
A Karpus, I Vagliano, K Goczyła, M Morisio
2016 Federated Conference on Computer Science and Information Systems …, 2016
Allied: A framework for executing linked data-based recommendation algorithms
C Figueroa, I Vagliano, OR Rocha, M Torchiano, CF Zucker, JC Corrales, ...
International Journal on Semantic Web and Information Systems (IJSWIS) 13 (4 …, 2017
Semantic annotation and classification in practice
OR Rocha, I Vagliano, C Figueroa, F Cairo, G Futia, CA Licciardi, ...
IT Professional 17 (2), 33-39, 2015
Assisted policy management for SPARQL endpoints access control
L Costabello, S Villata, I Vagliano, F Gandon
Multi-modal adversarial autoencoders for recommendations of citations and subject labels
L Galke, F Mai, I Vagliano, A Scherp
Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018
DBpedia Mobile Explorer
I Vagliano, M Marengo, M Morisio
2015 IEEE 1st International Forum on Research and Technologies for Society …, 2015
Analyzing the evolution of vocabulary terms and their impact on the LOD cloud
M Abdel-Qader, A Scherp, I Vagliano
European Semantic Web Conference, 1-16, 2018
Content recommendation through semantic annotation of user reviews and linked data
I Vagliano, D Monti, A Scherp, M Morisio
Proceedings of the Knowledge Capture Conference, 32, 2017
Content Recommendation through Semantic Annotation of User Reviews and Linked Data-An Extended Technical Report
I Vagliano, D Monti, A Scherp, M Morisio
arXiv preprint arXiv:1709.09973, 2017
SemRevRec: A Recommender System based on User Reviews and Linked Data.
I Vagliano, D Monti, M Morisio
RecSys Posters, 2017
Linked data-driven smart spaces
OR Rocha, C Figueroa, I Vagliano, B Moltchanov
International Conference on Next Generation Wired/Wireless Networking, 3-15, 2014
Can Graph Neural Networks Go" Online"? An Analysis of Pretraining and Inference
L Galke, I Vagliano, A Scherp
arXiv preprint arXiv:1905.06018, 2019
Recommending Multimedia Educational Resources on the MOVING Platform.
I Vagliano, S Nazir
BIR@ ECIR, 148-158, 2019
Open Innovation in the Big Data Era With the MOVING Platform
I Vagliano, F Günther, M Heinz, A Apaolaza, I Bienia, G Breitfuss, T Blume, ...
IEEE MultiMedia 25 (3), 8-21, 2018
Serendipitous recommendations through ontology-based contextual pre-filtering
A Karpus, I Vagliano, K Goczyła
International Conference: Beyond Databases, Architectures and Structures …, 2017
Training researchers with the MOVING platform
I Vagliano, A Fessl, F Günther, T Köhler, V Mezaris, A Saleh, A Scherp, ...
International Conference on Multimedia Modeling, 560-565, 2019
Executing, Comparing, and Reusing Linked-Data-Based Recommendation Algorithms with the Allied Framework
C Figueroa, I Vagliano, OR Rocha, M Torchiano, CF Zucker, JC Corrales, ...
Semantic Web Science and Real-World Applications, 18-47, 2019
Tool Integration in the Aerospace Domain: A Case Study
I Vagliano, D Ferretto, E Brusa, M Morisio, L Valacca
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC …, 2017
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