balloon: LOD forecasting - cloudy with a chance of services

1,173 views

Published on

Overview talk about the balloon toolsuite. Consuming Linked Open Data should be easy and should be available via API and services.

Published in: Technology, Education
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,173
On SlideShare
0
From Embeds
0
Number of Embeds
529
Actions
Shares
0
Downloads
5
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

balloon: LOD forecasting - cloudy with a chance of services

  1. 1. LOD weather forecasting: Cloudy with a chance of services Kai Schlegel, M.Sc. (kai.schlegel@googlemail.com)
  2. 2. 2 “ Linked Data is the heart of Semantic Web - W3C Semantic Web Group
  3. 3. 3
  4. 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
  5. 5. Linked Open Data 5
  6. 6. 6
  7. 7. 7 Plethora of Tools Available
  8. 8. 8 Tools Public Available? •  „Paper only“ •  Download •  •  •  •  •  complex setup/usage maintenance fixed (research) purpose documentation cost-effectiveness considerations Nothing-as-a-Service
  9. 9. 9 API FTW! Make a complex task easier to use and offer convenient methods for common tasks
  10. 10. 10
  11. 11. 11 Cloudify Linked Open Data Integration Pay-as-you-go Cost of Ownership Shared Infrastructure Productivity Flexibility
  12. 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. 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. 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. 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. 16 balloon Synopsis •  Node-centric JavaScript visualization •  Easily embed RDF snippets in your website •  Automatic information enhancement •  Configurable Templating
  17. 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. 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?

×