Symposium Platform Linked Data The Netherlands on June 27th 2016

Date/time: Monday June 27th +/- 09:30-17:00
Location: Raadszaal Eindhoven (Town Hall, Stadhuisplein 1 Eindhoven)
Programme: Programme June 27, 2016
Photo impression Photo impression June 27,2016

Presentations

• Welcome at Linked Data Conference 2016 – Erwin Folmer (Kadaster)

• Walk-in Introduction to Linked Data – Rinke Hoekstra (VU Amsterdam)

• Data innovation projects at NXP Semiconductors – Guido Dierick (NXP)
• Omgevingswet & Linked Data – Aart Jan Klijnjan (Kadaster)
• Linked (Open) Data, DONE & TODO – Frank van Harmelen (VU Amsterdam)

• LOD Fit for Purpose - Jacco Ossenbruggen (CWI, VU Amsterdam)
• City Analytics, Open Social Multimedia - Marcel Worring (University of Amsterdam)
• Datasets and datastreams - Frank van Harmelen (VU Amsterdam)
• Typing and linking (geographic) data workflows - Simon Scheider (University Utrecht)

• Linked Data Profiling - Andrejs Abele (Insight)
• Twist, A Multi-Perspective Visual Topic Explorer - Albin Cheenath (InGrouper)
• Potentials of Linked Data for geographic maps and spatial analysis – Simon Scheider (University Utrecht)

• ENERGIC Datathon – Rob Lemmens (University of Twente)

• Closure at Linked Data Conference 2016 – Erwin Folmer (Kadaster)

Invitation Symposium Platform Linked Data Netherlands - June 27th Town Hall Eindhoven

The Symposium Platform Linked Data Netherlands is the premier venue for Linked Data in Government and Industry in The Netherlands, organized by PLDN (Platform Linked Data Netherlands). This year’s symposium, held on June 27th, 2016 in Eindhoven (Town hall) is a side event of the European Data Forum (EDF) 2016 which takes place on June 29th – 30th, 2016 also in Eindhoven, the Netherlands.

Our program will consist of three main parts (detailed program will be published later):

A. Linked Data & Application

In this first part in the morning the central theme will be how Linked Data fosters innovation and how benefits can be achieved. In this session a new publication will be launched (freely available for all registrants) containing descriptions of 15 linked data applications. This session will also contain updates on the major linked data applications in the Netherlands in Industry, Government and Academia. Participants in this session include: Mary-Ann Schreurs (Wethouder Innovation, Municipality of Eindhoven), Guido Dierick (Executive Vice President & CEO NXP Nederland), Aart-Jan Kleinjan (Directeur Omgevingswet, Kadaster), Frank van Harmelen (Hoogleraar Vrije Universiteit Amsterdam).

B. Linked Data Doctoral Consortium

The second part will host the first PLDN Doctoral Consortium, a cooperation between PLDN, SIKS, the Netherlands Research School for Information and Knowledge Systems and Amsterdam Data Science (ADS). In this session selected PhD students working on topics related to Linked Data, Semantic Web and Data Science will present their research to the panel and the audience.

The doctoral consortium panel include the following experts: Sören Auer (University of Bonn), Frank van Harmelen (Vrije Universiteit Amsterdam), Jos van Hillegersberg (Universiteit Twente), Geert Jan Houben (Delft University of Technology), Jacco van Ossenbruggen (Centrum Wiskunde & Informatica (CWI)/Vrije Universiteit Amsterdam), Simon Scheider (Utrecht University), Ruben Verborgh (Ghent University).

C. Linked Data Speed Dating

The final part will be speed dating between knowledge suppliers and knowledge seekers, with the goal of creating matched couples who will explore their shared interests and seek for further collaboration. This is a unique opportunity to meet interesting partners for further collaboration without barriers. Selected matches will be financially supported by the Platform Linked Data Netherlands.

As always the day will be ended with drinks.

More information about application for the doctoral consortium: http://www.pilod.nl/wiki/Call_for_Submissions_and_Participation

More information on the speed dating: http://www.pilod.nl/wiki/Speed_Dating

Platform Linked Data Nederland (PLDN)

Linked Data is een internettechnologie waarmee je gestructureerde gegevens op een uniforme manier kunt beschrijven, modelleren, opslaan, publiceren en onderling kunt koppelen via het internet met behulp van RDF-gebaseerde open standaarden en URI's (bijv. W3C-aanbevelingen en vocabulaires).