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Exposing RDF Archives using
Triple Pattern Fragments
Ruben.Taelman@UGent.be
@rubensworks
Scalability issues with Web-scale consumption
hinder discovery of this knowledge
Use low-cost TPF framework to expose archives
Which books were
present at time X?
Support different query types
Storing data as
Independent copies Changesets Timestamps
Supported query types and storage strategies form trade-offs
between client load, server load and server storage cost.
Roadmap
1. Extending TPF interface for different query types
2. Storage solution(s) for supported query types
3. Client-side methods for handling different versions
Which books were
added and removed
between times X and Y?
At what times was
book A present?
1
bookA
bookB
bookC
2
bookB
bookC
bookD
3
bookA
bookB
bookD
1
+bookA
+bookB
+bookC
2
-bookA
+bookD
3
+bookA
-bookC
bookA: 1,3
bookB: 1,2,3
bookC: 1,2
bookD: 2,3
Historical data can be a great source of knowledge

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Exposing RDF Archives using Triple Pattern Fragments

  • 1. Exposing RDF Archives using Triple Pattern Fragments Ruben.Taelman@UGent.be @rubensworks Scalability issues with Web-scale consumption hinder discovery of this knowledge Use low-cost TPF framework to expose archives Which books were present at time X? Support different query types Storing data as Independent copies Changesets Timestamps Supported query types and storage strategies form trade-offs between client load, server load and server storage cost. Roadmap 1. Extending TPF interface for different query types 2. Storage solution(s) for supported query types 3. Client-side methods for handling different versions Which books were added and removed between times X and Y? At what times was book A present? 1 bookA bookB bookC 2 bookB bookC bookD 3 bookA bookB bookD 1 +bookA +bookB +bookC 2 -bookA +bookD 3 +bookA -bookC bookA: 1,3 bookB: 1,2,3 bookC: 1,2 bookD: 2,3 Historical data can be a great source of knowledge