From Bitmaps back to Brains: DML-CZ and EuDML Projects (invited talk 8.11.2010, University of Birmingham AI Seminar, UK)
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00045346" target="_blank" >RIV/00216224:14330/10:00045346 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
From Bitmaps back to Brains: DML-CZ and EuDML Projects (invited talk 8.11.2010, University of Birmingham AI Seminar, UK)
Popis výsledku v původním jazyce
Several innovative document transformations and tools developed in the process of building the Digital Mathematical Library DML-CZ http://dml.cz are described. The main result is our new PDF re-compression tool, developed using a enhanced jbig2enc library. Together with pdfsizeopt.py by Péter Szabó, we have managed to decrease PDF storage size and transmission needs by 62%: using both programs we reduced the size of the original already compressed PDFs to 38%. We briefly describe workflow and tools developed for creating the digital library. The batch digital signature stamper, the document similarity metrics which uses four different methods, a [meta]data validation process and math OCR tools represent some of the main [by]products. Such document engineering, together with Google Scholar indexing optimization, have led to the success of serving digitized and born-digital scientific math documents to the public in DML-CZ, and are being employed also in The European Digital Mathematics
Název v anglickém jazyce
From Bitmaps back to Brains: DML-CZ and EuDML Projects (invited talk 8.11.2010, University of Birmingham AI Seminar, UK)
Popis výsledku anglicky
Several innovative document transformations and tools developed in the process of building the Digital Mathematical Library DML-CZ http://dml.cz are described. The main result is our new PDF re-compression tool, developed using a enhanced jbig2enc library. Together with pdfsizeopt.py by Péter Szabó, we have managed to decrease PDF storage size and transmission needs by 62%: using both programs we reduced the size of the original already compressed PDFs to 38%. We briefly describe workflow and tools developed for creating the digital library. The batch digital signature stamper, the document similarity metrics which uses four different methods, a [meta]data validation process and math OCR tools represent some of the main [by]products. Such document engineering, together with Google Scholar indexing optimization, have led to the success of serving digitized and born-digital scientific math documents to the public in DML-CZ, and are being employed also in The European Digital Mathematics
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
AF - Dokumentace, knihovnictví, práce s informacemi
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/LA09016" target="_blank" >LA09016: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2010
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů