Related projects
MITCH
(Mining for Information in Texts from the Cultural Heritage) Text mining, a research domain of natural language engineering, has advanced to a level at which automatic language technology and information extraction modules can be applied to vast amounts of text and (semi-)structured data with textual elements. Textual data can be analysed on spelling, syntax, document structure and topical-semantic information. This project investigates how text mining can be employed to support the automisation of knowledge enrichment and understanding of digitised cultural-heritage texts and textual object data bases. The case studies are provided by Naturalis, the Dutch National Museum for Natural History, and focus on the vast numbers of unanalyzed and unlinked object databases and log books describing collected animal specimens, and taxonomies that organize these specimens according to the progressing international conventions. MITCH is a project of the National Museum of Natural History Naturalis and the Tilburg University, and it is part of the CATCH programme (Continuous Acces to Cultural Heritage).
www.nwo.nl/catch/mitch
RICH
The research question addressed in the RICH (Reading Images in the Cultural Heritage ) project reads: How can artificial intelligence support the automatic visual analysis of archaeological objects? The approach followed in the RICH project is empirical. Machine-learning algorithms are trained on large collections of images. After training, the ability to recognize or classify previously unseen images is assessed yielding a measure of generalisation performance. RICH is a project of the RACM (Rijksdienst voor Archeologie, Cultuurlandschap en Monumenten) and the University of Maastricht, and it is part of the CATCH programme (Continuous Acces to Cultural Heritage).
www.nwo.nl/catch/rich
STITCH
The prime research objective of the STITCH project (Semantic Interoperability to Access Cultural Heritage) is to develop theory, methods and tools for allowing metadata interoperability through semantic links between the vocabularies. This research challenge is similar to what is called the ontology mapping problem in ontology research. STITCH is a project of the National Library of the Netherlands, the Vrije Universiteit Amsterdam and the Max Planck Institute, and it is part of the CATCH programme (Continuous Acces to Cultural Heritage).
www.nwo.nl/catch/stitch
Tuesday, April 24, 2007