Jeremy Debattista
Jeremy Debattista
Adapt Centre, Trinity College Dublin, Ireland
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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
A preliminary investigation towards improving linked data quality using distance-based outlier detection
J Debattista, C Lange, S Auer
Joint international semantic technology conference, 116-124, 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
Quality assessment of linked datasets using probabilistic approximation
J Debattista, S Londoño, C Lange, S Auer
European semantic web conference, 221-236, 2015
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
D Cortis, J Debattista, J Debono, M Farrell
Disrupting finance, 71-84, 2019
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
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
Understanding information professionals: a survey on the quality of linked data sources for digital libraries
J Debattista, L McKenna, R Brennan
OTM Confederated International Conferences" On the Move to Meaningful …, 2018
Interacting with a context-aware personal information sharing system
S Scerri, A Schuller, I Rivera, J Attard, J Debattista, M Valla, F Hermann, ...
International Conference on Human-Computer Interaction, 122-131, 2013
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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