Projects - Scientific Document Analysis Group
Improving Accessibility to Mathematical Teaching Resources
The project builds upon our previous work within the Scientific Document Analysis Group at the School of Computer Science by extending MaxTract, a research prototype for converting PDF into electronically processable markup such as MathML and LaTeX, into an assistive technology tool that can help accessibility support officers in their task of making teaching and assessment material in mathematical subjects fully accessible.
Funded by a HEA/JISC OER Programme: Rapid Innovation
Development of an advanced European digital library for mathematics
EuDML is a CIP project to build the European digital library for mathematics. Our partners are universities, public institutions and leading technology providers, dedicated to producing quality scientific information. Participants include mathematicians, librarians, digital library specialists, publishers, professional information service and document engineering specialists, and computer scientists.
Funded by EU CIP-ICT Pilot Type B project
Collaboration with InftyProject
The long term aim of the collaboration with the Infty project is to develop a robust system for the faithful recognition of mathematical and scientific documents that allows their translation from inaccessible formats, e.g. scanned images or PDF, into an electronic form that enables easy access for further processing, e.g. for search and archival purposes, or for easy accessibility by users with special needs.
Funded by the Royal Society
Digitisation of Abramowitz and Stegun
We offer a scanned version of Abramowith and Stegun, a mathematical reference work first published in 1964, as a resource for Scientific Document Analysis. Scanned images of the 1046 page Handbook are downloadable from the project website.