Document Engineering for Digital Libraries (invited talk 5.11.2010,Portsmouth University Computing Seminar,UK)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00045289" target="_blank" >RIV/00216224:14330/10:00045289 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Document Engineering for Digital Libraries (invited talk 5.11.2010,Portsmouth University Computing 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

Document Engineering for Digital Libraries (invited talk 5.11.2010,Portsmouth University Computing 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

Druh

O - Ostatní výsledky

CEP obor

AF - Dokumentace, knihovnictví, práce s informacemi

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů