Linked Data - Digital Humanities Training workshop

semantic web2

Event type: Workshop


The Semantic Web can be thought of as an extension of the World Wide Web in which sufficient meaning is captured and encoded such that computers can automatically match, retrieve, and link resources across the internet that are related to each other. In a scholarly context this offers significant opportunities for publishing, referencing, and re-using digital research output. In this tutorial we first introduce the principles and technologies behind this 'Linked Data'.

In the second half of the session we will demonstrate two projects from the University of Oxford e-Research Centre in which Linked Data has been applied: a performance study of Wagner's Ring Cycle from the Transforming Musicology project; and an investigation of early English texts from EEBO-TCP and the HathiTrust in the ElEPHãT project. Attendees will participate in hands-on exercises which explore the Linked Data from these projects, and gain experience of designing their own ontologies.

This is an introductory tutorial which assumes no prior knowledge of the semantic web or linked data.


Kevin Page is a senior researcher at the University of Oxford e­-Research Centre. His work on web architecture and the semantic annotation and distribution of data has, through participation in several UK, EU, and international projects, been applied across a wide variety of domains including sensor networks, music information retrieval, clinical healthcare, and remote collaboration for space exploration. He is principal investigator of the Early English Print in HathiTrust (ElEPHãT) and Semantic Linking of BBC Radio (SLoBR) projects, and leads Linked Data research within the AHRC Transforming Musicology project.

Terhi Nurmikko-Fuller is a postdoctoral Research Associate at the University of Oxford e­-Research Centre. Her research involves the use of Linked Data and semantic technologies to support and diversity scholarship across a range of topics in the Digital Humanities.

David M. Weigl is a postdoctoral research associate at the University of Oxford e-Research Centre. His work involves the application of Linked Data and semantic technologies in order to enrich digital music information and facilitate access to a variety of musical data sources. His research interests revolve around music perception and cognition, and music information retrieval.


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