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TEMAP : technology for discovering of map collections

Publikace |
2012

Tento text není v aktuálním jazyce dostupný. Zobrazuje se verze "en".Abstrakt

The project aims to create new procedures, methodologies and software tools for processing, protecting, and on-line visualization of map collections. This will provide a solution that innovatively combines cartography, the latest web technology and experience of memory institutions.

Software development will focus on the support of collaborative bibliographic and cartographic processing of map collections (including support for cartographically correct cataloguing of map series in memory institutions) and on the subsequent use of such data and metadata to streamline the process of enhancement and online publishing for the benefit of lay and professional public. The core element of the software solution will be a Georeferencer tool, which will be extended to include new features such as support for cartographic projections, map series, search for maps by image similarity etc.

The project will provide a new methodology reflecting the international cataloging rules RDA (published in June 2010) for a description of cartographic documents. These methodologies will reflect current practice and will be validated through scientific processing of the oldest and rarest parts of the map collections of ML, CU and MU.

Selected documents from these collections will also be digitized and made available online. The project also allows further development of GEOBIBLINE database, which will be enriched by tags and thumbnails of bohemical cartographic documents.

Relevant full texts will be made available online in accordance with copyright laws. A process for cartometric analyses of selected cartographic documents will be designed.

Results will be published online in the form of a specialized map for the most important parts of processed collections. Web presentation of the collections will be supplemented with an e-learning course, which will explain how to use the new technologies.