Jeremy Debattista
Jeremy Debattista
Adapt Centre, Trinity College Dublin, Ireland
Verified email at
Cited by
Cited by
Luzzu—A Methodology and Framework for Linked Data Quality Assessment
J Debattista, S Auer, C Lange
Journal of Data and Information Quality (JDIQ) 8 (1), 4, 2016
Evaluating the Quality of the LOD Cloud: An Empirical Investigation
J Debattista, C Lange, S Auer, D Cortis
Semantic Web 9 (6), 859-901, 2018
Luzzu - A Framework for Linked Data Quality Assessment
J Debattista, S Auer, C Lange
2016 IEEE Tenth International Conference on Semantic Computing (ICSC)}, 124 …, 2016
daQ, an Ontology for Dataset Quality Information.
J Debattista, C Lange, S Auer
LDOW, 2014
Representing dataset quality metadata using multi-dimensional views
J Debattista, C Lange, S Auer
Proceedings of the 10th International Conference on Semantic Systems, 92-99, 2014
Are linked datasets fit for open-domain question answering? A quality assessment
H Thakkar, KM Endris, JM Gimenez-Garcia, J Debattista, C Lange, S Auer
Proceedings of the 6th International Conference on Web Intelligence, Mining …, 2016
Linked'Big'Data: towards a manifold increase in big data value and veracity
J Debattista, C Lange, S Scerri, S Auer
2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC), 92-98, 2015
Towards ontology quality assessment
S Mc Gurk, C Abela, J Debattista
CEUR, 2017
A preliminary investigation towards improving linked data quality using distance-based outlier detection
J Debattista, C Lange, S Auer
Semantic Technology: 6th Joint International Conference, JIST 2016 …, 2016
Quality assessment of linked datasets using probabilistic approximation
J Debattista, S Londoño, C Lange, S Auer
The Semantic Web. Latest Advances and New Domains: 12th European Semantic …, 2015
D Cortis, J Debattista, J Debono, M Farrell
Disrupting finance: FinTech and strategy in the 21st century, 71-84, 2019
Towards cleaning-up open data portals: A metadata reconciliation approach
A Tygel, S Auer, J Debattista, F Orlandi, MLM Campos
2016 ieee tenth international conference on semantic computing (icsc), 71-78, 2016
Ontology-based Rules for Recommender Systems.
J Debattista, S Scerri, I Rivera, S Handschuh
SeRSy, 49-60, 2012
Literally better: Analyzing and improving the quality of literals
W Beek, F Ilievski, J Debattista, S Schlobach, J Wielemaker
Semantic Web 9 (1), 131-150, 2018
Understanding information professionals: a survey on the quality of linked data sources for digital libraries
J Debattista, L McKenna, R Brennan
On the Move to Meaningful Internet Systems. OTM 2018 Conferences …, 2018
Data quality vocabulary (DQV). W3C interest group note
R Albertoni, A Isaac, C Guéret, J Debattista, D Lee, N Mihindukulasooriya, ...
World Wide Web Consortium (W3C), 2015
Luzzu Quality Metric Language--A DSL for Linked Data Quality Assessment
J Debattista, C Lange, S Auer
arXiv preprint arXiv:1504.07758, 2015
An intelligent linked data quality dashboard
R Vaidyambath, J Debattista, N Srivatsa, R Brennan
CEUR-WS, 2019
Leveraging knowledge graphs of movies and their content for web-scale analysis
F Orlandi, J Debattista, IA Hassan, C Conran, M Latifi, M Nicholson, ...
2018 14th International Conference on Signal-Image Technology & Internet …, 2018
Is the LOD cloud at risk of becoming a museum for datasets? Looking ahead towards a fully collaborative and sustainable LOD cloud
J Debattista, J Attard, R Brennan, D O'Sullivan
Companion Proceedings of The 2019 World Wide Web Conference, 850-858, 2019
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