Freebase & Stanford University Libraries and Academic Information Resources (SULAIR) are working together to create RDF triples involving Stanford’s holdings to test a large prototype of a Linked Data discovery environment
Linked Data describes a method of embedding semantic information into metadata so that objects on the web can be linked in intelligent ways by automated agents and software designed to guide readers to useful related information that they might not otherwise have discovered. Linked Data is a component of the Semantic Web.
Below are some suggested readings, presentations, and videos for learning more about Linked Data.
Very good Wikipedia entries (with lots of references):
Why Linked Data?:
- In By Any Other Name, Chuck Henry of CLIR explains the meaning behind attempting linked data projects.
- Presentation by Professor David Nicholas, Director of CIBER on information behaviour of the researcher of the future
From Tim Berners-Lee, who first envisioned a semantic web:
- Tim Berners-Lee’s TED Talks on Linked Data:
- Tim Berners-Lee, James Hendler, and Ora Lassila on The Semantic Web in Scientific American, May 2001
- Tim Berners-Lee Linked Data
On the Potential of Linked Data:
- In The Pew Internet and American Life Report, The Fate of the Semantic Web, “some 895 experts … predict the likely progress toward achieving the goals of the semantic web by the year 2020.”
- The Nuts and Bolts of Opening Government Data in the Spring 2010 Issue of JISC’s Digital Content Quarterly
- Daniel Chudnov Texas Conference on Digital Libraries keynote: Better Living through Linked Data
On Government Information and Linked Data: