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Linked Data Life Cycles
Confoo, Montreal, 2012-02-29
DERI, Ireland
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Overview
- What's Linked Data?
- Why Linked Data?
- Linked Data Life Cycles
- Q & A
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What's Linked Data?
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Technology Context
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Linked Data design principles
- URIs as names for things
- HTTP URIs so that people can look up those names
- When someone looks up a URI, provide useful information, using RDF*, SPARQL
- Include links to other URIs for discovery
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Core idea
- Structured data available on a global scale
- Connect related data items across multiple sources
- ?
- Profit
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Why Linked Data?
- Classical data management vs. distributed Web
- Development using standards
- Open things up
- Gradual and sustainable
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Linked Open Data Cloud
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Linked Data Life Cycles
Involved parties
- Original data owners
- Data publishers
- Data enrichment parties
- Data consumers
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Phases
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Awareness
- Complex task (prototyping, organizing, consulting, license)
- Who is involved and responsible?
- No guarantee of success
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Modelling
- How to express data
- How to find and reuse existing vocabularies
- When to develop own vocabularies
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Publishing
- Original data should be structured
- Conversion of non-RDF data to RDF data
- Putting it out there for public use
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Technology Flow
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Discovery
- Describing datasets (vocabularies, interlinks, size, dumps)
- Find relevant datasets (e.g., coverage, license)
- Interlink to other datasets
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Integration
- Pay as you go
- Split work-load; publisher, consumer, 3rd parties
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Use Cases
- Demonstrate benefits (Health care, eBusiness, Social media)
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Applications: School Explorer
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Some tools
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So there we have it
Sarven Capadisli
@csarven
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Credits