Summer School: 'Keyword search in Big Linked Data'
The 2nd KEYSTONE Training School on Keyword search in Big Linked Data is a research-training event for graduates and postgraduates in the beginning of their academic careers, focused on giving them in-depth exposure to the exciting and fast-developing areas related to Keyword search in Big Linked Data.
During different keynote talks, lectures and hands-on sessions, renowned academics and experts in the fields of Big Data, Linked Data, NLP, Semantic Web or IR will explore a large spectrum of current exciting research, development and innovation related to various research areas and society itself.
PROGRAM (View online program)
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Keynote Speaker: Asunción Gómez-Pérez (Universidad Politécnica de Madrid, ES)
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Exploration, Visualization and Querying of Linked Open Data sources (Laura Po - University of Modena and Reggio Emilia, IT).
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Information Retrieval Evaluation (Mihai Lupu - Vienna University of Technology, AT).
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Big data storage and analytics, including network science and graph stores (Genoveva Vargas-Solar - Research Scientist, CNRS, FR).
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Interactive keyword-based access to large-scale structured datasets (Elena Demidova - University of Southampton, UK).
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Semantic annotation and expansion for keyword queries (Ranka Stankovic - University of Belgrade, Serbia)
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Collective Intelligence: Crowdsourcing groundtruth data for large scale evaluation in Information Retrieval (Sergej Zerr - University of Southampton, UK)
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Aggregating Multiple Dimensions for Computing Document Relevance (Mauro Dragoni - Fondazione Bruno Kessler, IT).
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Jose R.R. Viqueira, Training School Coordinator, University of Santiago de Compostela
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Raquel Trillo Lado, University of Zaragoza
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Antonio Fariña, University of A Coruña
For more information, please send an email to keystone.school@usc.es or visit the official website of the event.
On-site event
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