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Linked Data

Digital Scholarship and Scholarly Communications

What is it?

Digital Scholarship and Scholarly Communications are interdisciplinary fields in librarianship that facilitate the production and dissemination of academic research through the use of emerging digital tools and applications, while enhancing the communication of and access to the results of this research.


Linked data encompasses information that is coded, stored and queried as a mathematical graph rather than as a hierarchical set of relationships as in a relational database. Linked data allows the relationships between data points to be easily expressed and prioritized.

Linked Data and the Semantic Web

When Tim Berners-Lee invented the World Wide Web in 1992 he understood the power of linked data. In fact the web itself is a network of at least 25 billion documents all linked together. Berners-Lee also knew that the power of linked documents dwarfs in comparison to the potential of linked data points. This is the vision behind the Semantic Web.

Network Analysis

Not all data is on the open web. Computing has now generated huge data sets that we can analyze in various ways. Once we can express the relationships between things we can create all sorts of interesting applications. Recommendation engines, social networking sites, route finding tools, fraud detection, all use network analysis to bring new insights to large data sets.

Digital Humanities

The humanities have always been about making connections whether it be to our past, our cultures, our religions, our languages or our creations, so using graphing technologies in the humanities is a natural fit.

If you have a project that uses any form of Linked Data or you want to know more about it, we can help.