SPARQL Query Optimization with Pavel Klinov: Difference between revisions
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that he obtained his PhD in the area of probabilistic logics at the University of Manchester and worked as a software developer at CERN | that he obtained his PhD in the area of probabilistic logics at the University of Manchester and worked as a software developer at CERN | ||
during the early days of the LHC project. | during the early days of the LHC project. | ||
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Revision as of 10:00, 23 November 2020
Date: 28 January 2021
Location: Online (zoom)
Chapters: Berlin, London, New York and San Francisco
ID:
Registration:
Abstract
In this session Pavel will introduce us to query optimisation techniques and evaluation algorithms to improve SPARQL queries. Thes session will extend a series of already available presentations:
Tips For SPARQL Query Optimization
https://www.stardog.com/trainings/tips-for-sparql-query-optimization/
7 Steps to Fast SPARQL Queries
https://www.stardog.com/blog/7-steps-to-fast-sparql-queries/
Bio
Pavel Klinov is a software engineer leading the Query Engine team at Stardog. In that role he is primarily responsible for the evolution of Stardog’s SPARQL query execution engine, particularly, the development of novel query optimisation techniques and evaluation algorithms. Some of them extend beyond pure SPARQL, for example, path queries introduced in 2018 or, more recently, SPARQL*.
Pavel has been with Stardog since 2011 (including a period of parallel employment at the University of Ulm between 2012 and 2015). Prior to that he obtained his PhD in the area of probabilistic logics at the University of Manchester and worked as a software developer at CERN during the early days of the LHC project.
Classification Session-Level: intermediate-advanced Session-Type: technology-standards-performace