4. 4
“A Little Semantic Goes a Long Way
- Prof. James A. Hendler
Challenges (among others):
•
Find URI for entity
•
Distributed datasets
•
Inhomogenous Data
•
Contradicting Facts
•
Querying Endpoints
•
Finding relevant or similar
information
Cumbersome data
consumption
11. 11
Cloudify Linked Open Data
Integration
Pay-as-you-go
Cost of
Ownership
Shared
Infrastructure
Productivity
Flexibility
12. 12
Public services and tools to consume Linked Data with
less effort
no setup required
Overflight
Fusion
Commonalities
Synopsis
Index
Query
Analyze
View
13. 13
balloon Overflight
• SPARQL based crawling of LOD endpoints
• Simplified global view on structural interlinking
• Equivalence (sameAs)
• Instances (type)
• Inheritance (subClassOf)
• ~255M triples
• Graph database for further analysis
• Available for download
14. 14
balloon Fusion
• SPARQL rewriting based on unified co-reference information
• Exploit co-reference information for
• accomplishing immediate SPARQL rewriting
• performing endpoint selection (provenance & namespace)
• execute automatic query federation with adapted entities
• Single point of access
Main principle: Semantic
concept over identifier!
15. 15
balloon Commonalities
• Shared characteristics of entities and types
• Exploit extracted hierachy (trust influenced)
• Associate Rule Mining
• Finding relevant super types of entities
• Finding instances for given type
• Finding related entities
• Finding common predicates
16. 16
balloon Synopsis
• Node-centric JavaScript visualization
• Easily embed RDF snippets in your website
• Automatic information enhancement
• Configurable Templating
17. 17
Summary:
I believe …
• Linked Open Data would benefit from more services
• balloon crawled dataset holds great potential
Cloudy with a chance of services
18. 18
“
The most exciting phrase to hear in
science, the one that heralds the most
discoveries, is not 'Eureka!', but 'That's
funny...'
- Isaac Asimov
Any questions?