The Intelligent Systems and Data Science team (ISDS) collaborates with academics from Arts and Humanities to promote the application of a broad range of Artificial Intelligence techniques to support humanistic enquiry.
Current initiatives include the Listening Experience Database (LED) project, where we are collaborating with musicologists at the Open University, the University of Glasgow and the Royal College of Music. The objective of the project is to develop an open access database containing over 10 thousands accounts of personal listening experiences. In this project, we capitalize on our experience in Ontologies and Linked Data, as well as our expertise in developing sophisticated processing pipelines. These enable domain experts to identify relevant material in textual corpora, import this material into the database and then access it through a faceted browsing interface. The latter facilitates the specification of complex search queries while at the same time hiding the complexities of database query languages.
We are also currently working on the EU-funded READ-IT project, a 3-year (2018-2020) interdisciplinary R&D project funded by the Joint Programming Initiative for Cultural Heritage. The aim of the project is to build a unique large-scale, user-friendly, open access, semantically-enriched investigation tool to identify and share evidence about 18th-21st century reading experiences in Europe.