- From: Irini Fundulaki <fundul@ics.forth.gr>
- Date: Mon, 16 Jan 2017 17:15:44 +0200
- To: semantic-web@w3.org
- Cc: Irini Fundulaki <fundul@ics.forth.gr>
Mighty Storage Challenge: Call for Systems In conjunction with ESWC 2017 May 28 - June 2 2017 Portoroz, Slovenia Website and training data: https://project-hobbit.eu/challenges/mighty-storage-challenge/ 1 Aim The aim of the mighty storage challenge is to test the performance of solutions for SPARQL processing in aspects that are relevant for modern applications. These include ingesting data, answering queries on large datasets and serving as backend for applications driven by Linked Data. The proposed challenge will test the systems against data derived from real applications and with realistic loads. An emphasis will be put on dealing with changing data in form of streams or updates. This challenge will comprise the following tasks: (1) RDF data ingestion, (2) data storage, (3) versioning and (4) browsing. In essence: * Task 1 will measure how well systems can ingest streams of RDF data. * Task 2 will measure how data stores perform with different types of queries. * Task 3 will measure how well versioning and archiving systems for Linked Data perform when they store multiple versions of large data sets. * Task 4 will check existing solutions for how well they support applications that need browsing through large data sets. We herewith invite system developers to participate in the aforementioned tasks. The system developers are invited to write papers presenting their results on the training data (see important dates below). To ensure that the system results are comparable, we will provide the HOBBIT benchmarking platform for the generation of the final results to be included into the system publications. A specification of the hardware on which the benchmarks will be ran will be released in due course. 2 Prerequisites for Participation Each participant must: * provide a storage system that processes INSERT SPARQL queries * provide a storage solution that can process SPARQL SELECT queries * provide his/her solution as a docker image that abides by the technical * specifications which will be released with the challenge 3 Prizes The overall winner of the challenge will get a prize of at least 500€. Further prizes are being organized. 4 Important Dates Release of training data and instructions: January 13th, 2017 Paper submission deadline: March 10th, 2017 Challenge paper reviews: April 5th, 2017 Paper Notifications and invitation to task: April 7th, 2017 Beginning of benchmarking runs on platform: April 7th, 2017 Camera ready papers (5 pages document): April 23rd, 2017 Release of evaluation results: June 2nd, 2017 Camera-ready challenge proceedings version: June 30th, 2017 (tentative) Proclamation of winners: June 2nd, 2017 (ESWC 2017)
Received on Monday, 16 January 2017 15:16:21 UTC