Open Data, Linked Data, Semantic Web
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The document discusses open data, linked data, and the semantic web, emphasizing their importance in education and resource discovery. It highlights applications in learning analytics and visualization in research, particularly within the context of projects like linkedup and discou. The conclusion stresses that while open data is beneficial, linked data enhances its practical use, and the semantic web allows for more versatile reuse and repurposing.
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Open Data, Linked Data, Semantic Web
- 1. Open Data, Linked Data, Semantic Web Mathieu d’Aquin @mdaquin mdaquin.net
- 2. Open Data
- 3. Linked Data
- 5. Open University Website Open University VLE KMi Website Mathieu’s Homepage Mathieu’s List of Publications Mathieu’s Twitter M366 Course page Person: Mathieu Publication: Pub1 Organisation: The Open University Course: M366 Country: Belgium Book: Mechatronics author workFor availableIn offers setBook The Web of Linked DataThe Web Standard approach for connecting – links on the web
- 6. Example in Education: Open data – Open Educational Resources
- 7. Linking Educational Data (LinkedUp Project)
- 8. Applications Resource discovery (DiscOU) Learning Analytics Mobile resource exploration Visualisation for research
- 12. Example: Analysing patient pathways annotated with a french classification, and exploring the results with ICD-10
- 13. - Conclusion - Open Data is Good in Principle Linked Data makes it good in practice Semantic Web makes it infinitely reusable, repurposable, recombinab le More info: http://mdaquin.net http://data.open.ac.uk http://linkedup-project.eu