CATCH
CHIP
CHIP (Cultural Heritage Information Personalization) investigates how the interaction with the Dutch cultural heritage information can be enriched. It aims to guide each visitor through the virtual cultural Netherlands in ways that are adapted to that visitor. Research will be focused on the presentation of digitised cultural artefacts together with information about these artefacts, navigation by means of structures that connect artefacts, collections and artists, and personalization on individual and group level. CHIP is a project of the Rijksmuseum, the Technische Universiteit Eindhoven and the Telematica Instituut
www.nwo.nl/catch/chip
CHOICE
CHOICE (Charting the Information Landscape Employing Context Information) seeks to chart the uncharted information landscape, focusing on semi-automatic semantic annotation and employing context information. Semantic annotation involves the annotation of archived objects, such as video, images and books with semantic categories from some standardized metadata repository, such as domain thesauri and ontologies. The use of semantic annotation allows one to widen the search facilities in a collection. CHOICE is a project of the Netherlands Institute for Sound and Vision, the Telematica Institute, Max Planck Institute and the Vrije Universiteit Amsterdam
www.nwo.nl/catch/choice
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 specime ns, and taxonomies that organize these specimens according to the progressing international conventions.
MITCH is a project of the National Museum of Natural History and Tilburg University.
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 Rijksdienst voor het Oudheidkundig Bodemonderzoek and the Universiteit Maastricht.
www.nwo.nl/catch/rich
STITCH
(Semantic Interoperability to Access Cultural Heritage) The prime research objective of this project 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.
www.nwo.nl/catch/stitch
CATCH
The national resarch program CATCH (Contiuous Access to Cultural Heritage) strives to develop methods and techniques that enable collection managers to make their digital collections more accessible. It plans to offer possibilities for visualising new associations and relationships between different collections and to optimise the interaction between users and resources. As part of this programme, close collaboration takes place between informatics researchers and cultural heritage managers.
www.nwo.nl/catch