Exposing RDF Archives using Triple Pattern Fragments
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This document discusses using the Triple Pattern Fragments (TPF) framework to expose RDF archives and support querying historical data in order to make large knowledge bases more discoverable. It proposes extending the TPF interface to support different query types about temporal data, using storage solutions that balance client load, server load, and storage cost for the various query types and versions of data, and developing client-side methods for handling different data versions.
Exposing RDF Archives using Triple Pattern Fragments
- 1. Exposing RDF Archives using Triple Pattern Fragments [email protected] @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