6th ESWC Summer School, Dubrovnik 2016

6th ESWC Summer School, Dubrovnik 2016

10 Lectures · Sep 5, 2016

About

The overall goal for the 6th ESWC Summer School 2016 is to provide intensive training and networking opportunities for the next-generation of scientists and researchers in the digital age. In particular we wish to facilitate the creation of a new cohort of Master, PhD students, and junior researchers, who will in time become the next leaders of the Data Science and Semantic Web communities.

The topics of the summer school are aligned with the most prominent and emerging topics of the ESWC conference and the broader area of knowledge and data technologies that spans across a number of research areas, from knowledge representation and Linked Data to machine learning and big data.

This year’s motto is ‘The rise of the data scientist’ – the school features a mixture of invited talks and tutorials on several aspects of data science, including statistics, exploratory data analysis, data publishing and interlinking, machine learning, and data visualization as well as group projects, in which the participants will have the chance to apply what they have learned by developing their own data science research ideas and demos as part of a team.

We create opportunities for attendees to network with their peers, the school tutors, and keynotes as well as senior members of STI International and the research community who are participating in associated events.

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Uploaded videos:

Keynote Talks

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01:09:44

Language processing pipelines for knowledge technologies

Marko Tadić

Oct 06, 2016

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1415 Views

Keynote
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01:10:35

Knowledge Representation on the Web using Prototypes: Syntax, Semantics and Prag...

Stefan Decker

Oct 06, 2016

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1435 Views

Keynote
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01:04:28

Data and Algorithmic Bias in the Web

Ricardo Baeza-Yates

Oct 06, 2016

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1662 Views

Keynote
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57:00

Data Science for Social Impact: Case Studies, Challenges, and Opportunities

Rayid Ghani

Oct 06, 2016

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1487 Views

Keynote

Tutorials

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51:31

Fundamentals of data science

Claudia Wagner

Oct 06, 2016

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3624 Views

Tutorial
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01:45:20

Probability and statistics

Jan Rupnik

Oct 06, 2016

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2043 Views

Tutorial
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01:26:31

Machine learning

Blaž Fortuna

Oct 06, 2016

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3245 Views

Tutorial
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50:54

Information extraction

Elena Demidova

Oct 06, 2016

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1331 Views

Tutorial
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01:30:48

High-performance computing

Carlos Pedrinaci

Oct 06, 2016

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1487 Views

Tutorial
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01:21:39

Understanding and communicating with data

Chris Phethean

Oct 06, 2016

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1234 Views

Tutorial