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.

Implementation of Taxonomy Triples from Data Harmony Exports

Organizations are finding they can make better-informed decisions, reduce risk, and convey more accurate information by combining documents, data, and now RDF triples (also known as Linked Data) in one flexible architecture. MarkLogic’s combination Document, Data, and Triple store provides even greater insights by searching across all kinds of information, from many sources – from text-based documents to ontologies to facts gleaned from Linked Open Data. This presentation shows how to utilize triples and ontologies in the MarkLogic engine to both enhance and display data in ways that will help a customer base grow more quickly and will more accurately mine knowledge.

URL: https://www.youtube.com/watch?v=oaU2zkIMIiM
Keywords: MarkLogic, Linked Open Data, Ontology, Triple store, NoSQL
Author: Ford, Kevin
Date created: 2015-02-17 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M

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Implementation of Taxonomy Triples from Data Harmony Exports