This presentation demonstrates how research that requires analyses across different data sources can be sped up using Linked Data and Ontologies. The tutorial was created in the context of the EU project RD-Connect that aims to build a platform for global research on Rare Diseases. A Linked Data and Ontology approach tackles this problem at the source by encoding data and the associated semantic types in a machine-readable format conforming to a global standard.
URL: http://www.slideshare.net/MarcoRoos/linked-data-and-ontology-tutorial-for-rdconnect
Keywords: Harmonization, Knowledge Graph, HTTP URIs, Ontology, Triple
Author: Kaliyaperumal, Rajaram
Publisher: Leiden University Medical Center
Date created: 2014-04-25 07:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
- Knows that anything can be named with Uniform Resource Identifiers (URIs), such as agents, places, events, artifacts, and concepts.
- Knows the subject-predicate-object component structure of a triple.
- Understands that Linked Data (2006) extended the notion of a web of documents (the Web) to a notion of a web of finer-grained data (the Linked Data cloud).
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