12 October 2017: Hackathon session

Organizers:

Hackathon is powered by Galactica cloud-computing platform.

Title: Wikidata advanced demonstration

Abstract

Envel, Thomas and Andra are three Wikidata contributors who have advanced technical knowledge and they will carry out this workshop. They can demonstrate many tools to query, reuse Wikidata data, and build tools on top.

The hackathon will begin with a general introduction to Wikidata (1h), followed by a demonstration of various tools to use the data (Query Service, API, Wikidata-Toolkit, Wikidata-Integrator ...) (1h), before moving on to the hackathon phase where participants will be able to experiment with these tools and use them for their projects, with guidance from facilitators

Speakers

Andra Waagmeester is part of the gene wiki team. The gene wiki project is a concerted effort to make Wikidata the central linked data hub in the life sciences. We do this by adding and maintaining knowledge on genes, proteins, diseases, and drugs to Wikidata.

Thomas Pelissier-Thanon is a long time Wikidata contributor. He worked on the Wikidata schema and the migration of data from Freebase and is maintaining some Wikidata related tools like the WikidataToolkit. He is also a Ph.D. student at Télécom ParisTech working on data management and reasoning.

Envel le Hir is a Wikidata contributor, mainly about French politicians. In Wikidata, he created the France/Politicians project and takes part in the Parliaments project.

Title: Qserv, the cosmic petascale database

Abstract

The Large Synoptic Survey Telescope (LSST) is a large-aperture, wide-field, ground-based telescope that will repeatedly survey the southern sky. Currently in construction, it will be located in Chile and is planned to start operating in 2022 during 10 years. The imaging device will take about 2000 exposures per observing night, for a total raw data volume of 15 TB per 24 hours period. Highly automated processes will detect celestial objects present in those images, measure their physical properties and progressively build a catalog. The resulting catalog, which will even- tually contain trillions of entries, will be central to the scientific discoveries that LSST will enable. In this demonstration, we present the ongoing work for implementing this catalog, the challenges faced, its current status and lessons learnt so far.

Speakers

Fritz Mueller, leader of Qserv development team

Frédéric Gaudet, cloud computing architect

Fabrice Jammes, scalable data system expert