Austrian Books Online
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1 Austrian Books Online Google Books based mass digitisation Stefan Majewski OPF Hackathon Austrian National Library, Vienna
2 Overview The project How the data is acquired, from carrying the book to storing the files. The delights and perils of mass digitisation Some challenges How to work with the data? Data organisation
3 Austrian Books Online The Project
4 Key Facts Scope: 600, Mio Pages Progress: 180,000 -> 5,500/3weeks Workforce: 20+ FTE -> 60+ P Areas Logistics Metadata Conservation Download & QA Online Presentation Storage PM
5 Material legal deposit >> wide variety of material from: 16th century 19th 2nd half of century _
6 Public Access Google Books Digital Library Austrian National Library
7 13 Libraries in Europe 5 National Libraries Italy Austria The Netherlands Czech Republic Great Britain
8 >20 Mio. books > 50% non-english ~ 75% from libraries ~ 2 Mio. books from European libraries > 3 Mio. books public domain
9 digitisation of the entire historical book holdings of the Austrian National Library 16th to 19th century
10 70+ staff members 20+ exclusively for project book logistics metadata adaptation cataloguing conservation / restoration quality control software implementation project management
11 48,8 person years
12 Austrian Books Online Jahrhunderte 2% 10% 16. Jh. 43% 31% 14% 17. Jh. 18. Jh. 19. Jh. no year
13 Austrian Books Online Sprachen 3% 8% 13% 31% 14% eng ita fre lat ger 31% others
14 70% 60% Austrian Books Online 50% 40% 30% eng ita fre lat ger 20% 10% 0% 16. Jh. 17. Jh. 18. Jh. 19. Jh.
15
16 Ende 2013 ~ Bände digitalisiert
17 ÖNB Buch-Viewer
18 52+ Millionen Seiten 1+ Milliarde unterschiedliche Terme
19
20
21 Information
22 Weitere Bände
23 Austrian Books Online Delights and Perils
24
25
26 ... und doch, verschiedene Qualitäten
27 OCR: Deutsch
28 OCR: Latein
29 OCR: Ungarisch OCR: Ungarisch
30
31 Beispiel Fraktur (schlechte Qualität): Dis ist das buch der wyszheit der alten wysen von geschlecht der welt.; Bidpai, Person der Antike oder des Mittelalters; Straßburg: Grüninger; 1501 Hainrich; 1618
32
33 Austrian Books Online
34 Austrian Books Online Working with the Data
35 Buchlogistik Digitization Daten-Download ADOCO (Austrian Books Online Download & Control) Storage QA Access
36 Workflow in ADOCO Download package via HTTP Decrypt with gnupg Unzip tarball Md5 sum Store to pairtree Unified Access Pairtree (Symlinks) Update metadata
37 Volume Average per Volume (~Book): 101 MB 101 MB * = 60 TB
38 Image courtesy of The University of Pennsylvania and Michel T. Huber. big data
39 Datenspeicherung & Access Datenspeicherung: inhouse Daten redundant gespeichert Access-Kopien on-the-fly generiert
40 Download und Speicherung ADOCO ABO NAS-Speicher Pair Tree-Algorithmus ca. 60 TB JPEG2000 HOCR METS TXT
41 Pair Tree: ABO NAS +Z ^2/ bz/ 15/ 69/ 41/ 20/ 3/abo/ ONB_+Z xml html jp txt
42 Datenorganisation METS (Metadata Encoding & Transmission Standard) MARC/XML / MODS PREMIS GBS specific metadata Images (JPEG2000) OCR Daten Coordinated OCR plain TXT
43 " uod ſingular. contigit, ut _ - iungantur THARINGO RVM ~ multorum dio coñiunctum eſt. quae hinc Orta eſt, laetitia, RVM GENTIvM prouínciis, ac NI finibus, continetur,º ſed' et in ultimas usque terras terrarum, Data arrangement METS: ONB_+Z xml TEI text/xml ONB_+Z tei Manifest: checksum.md5 Images: JPEG jp2 coordocr: hocr (xhtml) 001.html OCR: text/plain UTF txt
44 METS Reference: Namespaces: xmlns:mets=" xmlns:xlink=" xmlns:gbs=" xmlns:premis="info:lc/xmlns/premis-v2" xmlns:marc="
45 METS Structure METS:mets METS:metsHdr METS:dmdSec METS:amdSec METS:fileSec METS:structMap
46 METS:metsHdr
47 METS:dmdSec
48 METS:amdSec
49 METS:fileSec
50 METS:structMap
51 METS:amdSec METS:techMD production notes (badpages, missing Pages, tightboundpages) method of image production calibration target Definition of gbs:pagetag
52 METS:amdSec METS:digiprovMD production notes (badpages, missing Pages, tightboundpages) method of image production calibration target Definition of gbs:pagetag
53 METS:amdSec METS:sourceMD Source library information METS:digiprovMD PREMIS:premis representation scanning date processing date analyzed date rubbish
54 hocr LhwPcjtAUFwBlzE8EWnKAxlgVf0/
55 Using the data, locally
56 Using the data, cluster Paths: /user/onbfue/input/abo/paths/mets/abo_mets_file_paths.txt /user/onbfue/input/abo/paths/text/abo_text_file_paths.txt /user/onbfue/input/abo/paths/html/abo_html_file_paths.txt Data: /user/onbfue/input/abo/data/html/seqfiles (page level) /user/onbfue/input/abo/data/text/seqfiles (book level)
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