The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Linked Data - The Story So Far
Abstract
The term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions— the Web of Data. In this article, the authors present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. They describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked Data community as it moves forward.
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Cites
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“Assign URIs to the entities described by the data set and provide for dereferencing these URIs over the HTTP protocol into RDF representations.”
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Metadata
- Authors
- Bizer, C., Heath, T., & Berners-Lee, T.
- Venue
- International Journal on Semantic Web and Information Systems
- Publisher
- IGI Global
- Published
- 2009-07-01
- Volume
- 5
- Issue
- 3
- Pages
- 1-22
- ISSN
- 1552-6283 (ISSN-L)
- 1552-6291
- OpenAlex
- W2015191210
- Cited by
- 4,525
- References
- 2
- FWCI
- 424.32
- Type
- journal article
- Language
- ng
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
