Abstract
Linked Data are based on a set of principles and technologies to exploit the architecture of the Web in order to represent and provide access to machine-readable, globally integrated information. This chapter provides an overview of what Linked Data means, and of the general approach to create and consume Linked Data resources. It shows how this approach can be used at different levels in a data lake, including basic graph-based data storage and querying, data integration and data cataloging. To exemplify the application of Linked Data principles and technologies for data lakes, a demonstrating scenario is given in the context of the creation and application of a large data platform for a smart city: the Milton Keynes Data Hub. Both Linked Data and data lakes operate under principles that could be interpreted as an assumption of levity towards the traditional rigor of database systems.
| Original language | English |
|---|---|
| Title of host publication | Data Lakes |
| Publisher | wiley |
| Pages | 145-169 |
| Number of pages | 25 |
| ISBN (Electronic) | 9781119720430 |
| ISBN (Print) | 9781786305855 |
| DOIs | |
| Publication status | Published - 1 Jan 2020 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- Data cataloging
- Data integration
- Data lake
- Graph-based data querying
- Graph-based data storage
- Linked data
- Milton Keynes data hub
Fingerprint
Dive into the research topics of 'Linked data principles for data lakes'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver