The project Linked Data for Professional Education (LD4PE), funded between 2014 and 2017 by the Institute of Museum and Library Studies (IMLS) and lead by the University of Washington Information School, developed a web-based exploratorium to support structured discovery of online learning resources about Linked Data. The project produced this website, which has been converted into a static site for preservation, and a Linked Data Competency Index. DCMI will keep this site online on a "best effort" basis as long as resources permit. The Internet Archive's Wayback Machine should be regarded as the source of archival copies for the long term.

Scaling Up Linked Data

This presentation addresses the main issues related to Linked Data and scalability. The author describes a relationship between Big Data and Linked Data, and explores how some of the solutions can be transferred from the former to the latter. In particular, different database options are presented (with a focus on NoSQL and Graph databases). Other topics include: using MapReduce to achieve "distributed reasoning"; updates to the SPARQL language that will be necessary to handle streaming data.

URL: http://www.slideshare.net/EUCLIDproject/scaling-up-linked-data?related=1
Keywords: Scalability, Big Data, MapReduce, SPARQL, NoSQL, Graph databases
Author: Dimitrov, Marin
Publisher: EUCLID Project
Date created: 2014-01-10 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P45M
Educational use: professionalDevelopment
Interactivity type: expositive

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Scaling Up Linked Data