Doctoral Consortium

Time	Session	Room
09:00-10:30	Introduction by Lora Aroyo and Fabien Gandon Keynote by Natasha Noy (Google) and Abraham Bernstein (University of Zurich)	TC.3.07
10:30-11:00	Coffee Break	WU Mensa
11:00-12:00	Paper Session 1	TC.3.07
11:00-12:00	Cleaning Noisy Knowledge Graphs Ankur Padia Enabling Data Analytics from Knowledge Graphs Henrique Santos What do Others Say About Similar Things – Predicate Comparing for a Linked Data Quality Boost Benedikt Hitz-Gamper Ontology testing based on requirements formalization in collaborative development environments Alba Fernandez-Izquierdo
12:00-12:30	Poster Session 1	WU Mensa
12:30-14:00	Lunch	WU Mensa
14:00-15:00	Paper Session 2	TC.3.07
14:00-15:00	Retrieval of the most relevant facts from data streams joined with slowly evolving dataset published on the Web of Data Shima Zahmatkesh ProvDS:Uncertain Provenance Management over Incomplete Linked Data Streams Qian Liu Automatic Learning Content Sequence via Linked Open Data Rubén Francisco Manrique A Framework for Recommending Ontology Matching Systems based on Application Requirements Diego Pessoa
15:00-15:30	Poster Session 2	WU Mensa
15:30-16:00	Coffee Break	WU Mensa
16:00-17:00	Paper Session 3	TC.3.07
16:00-17:00	Time-Aware Entity Linking Renato Stoffalette Joao IDRA: An ontology driven Cognitive Computing System Roberto Enea Towards automatic deployment of data platforms from existing data sources Mohammad Noorani Bakerally Towards interoperability in the public sector Raf Buyle
17:00-17:30	Poster Session 3	WU Mensa