Layered Data: An Example
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The document describes how a layered dataset is constructed by combining different types of information. It discusses initial factual data layers, network connections between resources, third-party commentary, content organization, and a final composite data layer created by combining the five distinct component layers. Each layer remains identifiable within the combined dataset.
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Layered Data: An Example
- 1. Layered Data Composing datasets from different types of information Leigh Dodds May 2010
- 2. Profile View How is the dataset constructed?
- 3. INITIAL DATA LAYERS Factual Initial factual sources. E.g. books & authors Factual
- 4. NETWORK CONNECTIONS Key relationships between Network resources E.g. books & their authors Factual Factual
- 5. THIRD-PARTY COMMENTARY Useful context Commentary E.g. reviews & discussion Network Factual Factual
- 6. CONTENT ORGANISATION Classification of content Organisation E.g. subject categories Commentary Network Factual Factual
- 7. Organisation FINAL COMPOSITE DATA LAYER Commentary Created from 5 different Network component layers. Factual Each layer is distinct & identifiable. Factual
- 8. Top-Down View How does the data mesh together?
- 9. Initial Factual Data Book Factual
- 10. Initial Factual Data Book Author Factual Factual
- 11. Network Connections Book Author Network Factual Factual
- 12. Third-Party Commentary Book Author Commentary Review Network Factual Factual
- 13. Content Organisation Book Author Organisation Commentary Review Category Network Category Factual Factual Category
- 14. Final Composite View Book Author Organisation Commentary Review Category Network Category Factual Factual Category
- 15. Book Author Organisation Commentary Review Category Network Category Factual Factual Category