Methods > --Searching/linking

Event Speaker: Andrew Meadows

The lead organisation in China is Peking University through its School of Arts.

This session will focus on mining a large corpus from Early English Books Online for historical information.

The AHRC Network Digital Cultural Heritage India will hold a three-day event in the University of Oxford's e-Research Centre 16-18 September.

Event Speaker: Andrew Meadows (University of Oxford)

Semantic Web technologies and Linked Data have the potential to support and complement traditional scholarship in Assyriology.

This seminar introduces the principles and technologies behind Linked Data, ontologies, and the Resource Description Framework (RDF), and describes how these technologies are applied to early English print.

This two-hour course will give you an introduction to XPath and a practical exercise using it.

HathiTrust offers millions of digitized titles; EEBO-TCP is a smaller well-defined collection of texts from 1473 to 1700.

While music libraries around the world are digitizing millions of musical scores, there are currently very few efforts underway at extracting the musical content from these page images and making the music notation available for large-scale search and ana

These introductory briefings are for scholars in the humanities who want to know more about the opportunities to use advanced digital technologies for research.

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.

The Linked Music Hackathon brings together those with a shared passion for music and the data that describes it: students, coders, researchers from all disciplines, and members of the public; all with an interest in exploring, combining, playing, hacking,

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.