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Adoption of Linked Data Best Practices in Different Topical Domains
Published on Dec 19, 20144602 Views
The central idea of Linked Data is that data publishers support applications in discovering and integrating data by complying to a set of best practices in the areas of linking, vocabulary usage, and
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Chapter list
Adoption of the Linked Data Best Practicesin Different Topical Domains00:00
The Linked Data Best Practices00:17
State of the LOD Cloud Report -201100:57
LOD Cloud -201101:18
Outline01:26
1. Methodology: Crawl of the Linked Data Web02:01
Categorization by Topical Domain02:57
2. Adoption of the Linking Best Practices05:02
Degrees05:18
“Crawlable” LOD Cloud 201406:39
Degree Distributions08:40
Conclusion concerning Linking Best Practices09:49
3. Adoption of the Vocabulary Best Practices10:04
Widely-Used and Proprietary Vocabularies10:34
Dereferencabilityof Term URIs and Vocabulary Linking11:34
Adoption of the Metadata Best Practices12:14
Provenance and Licensing Metadata12:24
Dataset Level Metadata (VoID)13:06
Conclusion concerning Metadata Best Practices13:41
“Full” LOD Cloud Diagram14:05
Growth of the “Full” LOD Cloud Diagram14:32
Comparison of Linked Data and Schema.org14:55
Adoption15:29
Schema.org Topical Focus15:49
Class / Property Distribution16:11
Shallowness of the Schema.org Data16:33
Conclusion17:06
Thank you.18:10