search
attachments
weblink
advanced
Overview
Content Tools
Please join us for a 2 hour hands-on look at existing linked data sets.
We often discuss linked data as a silver bullet for our metadata strategies, but we stop short of linked data native implementations because adequate tools are not available, decisions about which model to use are highly political, etc. Ignoring orthodoxy, politics, and the all-or-nothing mindset, this workshop will give an introduction to some practical approaches for evaluating whether an existing external dataset could be used to enhance our existing metadata strategies.
We will introduce strategies for evaluating datasets using SPARQL (the query language for RDF) through the use of Wikidata’s Query Service and possibly other SPARQL Endpoint services. We will also do some exercises using cURL (an open source command line tool) to retrieve linked data from a known URI. With access to the data we can perform analysis on whether this existing data can extend the metadata we already generate in our library platforms to support identified use cases. If we have time, we can discuss what considerations would need to be taken into account to follow through on this hybrid approach.
Please R.S.V.P. describing your level of comfort and interest with Linked Data/RDF and command line tools so we can make sure the focus of this workshop is catered to the participants.
Is your New Year’s resolution to learn more about coding and scripting? If it is, or if you just declared it so right now, come to the first Code Club of 2019, tomorrow, Thursday, January 3, 2019 in Olin 701 from 12-1. We’ll work through the warm-ups and the exercises in Command Line Wizardry together. Bring yourself, your laptop, and your questions, and we’ll make it happen.
If you can’t make this one, never fear: we’re holding two more code clubs in January. Here are the rest...
- Thursday, January 17, from 12-1 in Olin 701
- Thursday, January 31, from 12-1 in Olin 701