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Margret Plank German National Library for Science and Technology TACC Meeting 17th of March, 2013 The competence center for nontextual materials @TIB: Development of a portal for audiovisual media Click to buy NOW! P D F - X C h a n g e w w w . d o c u - t r a c k . c o m Click to buy NOW! P D F - X C h a n g e w w w . d o c u - t r a c k . c o m

The competence center for nontextual materials … · The competence center for nontextual materials @TIB: Development of a portal for audiovisual media ... Competence Centre for

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Margret PlankGerman National Library for Science and Technology

TACC Meeting17th of March, 2013

The competence center for nontextual materials @TIB:Development of a portal for audiovisual media

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• Specialized Library for Architecture, Chemistry, Computer Science,Mathematics, Physics, Engineering Technology

• Financed by Federal Government and all Federal States• Member of Leibniz Association• € 8m annual acquisition budget

7m media units25.000 journal titles12,5m patents

German National Library of Science and Technology (TIB)Clic

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The significance of non-textual materials in research and teachingis steadily increasing.

German National Library of Science and Technology (TIB)

The objective of TIB is to improve the conditions pertainingto the access of nontextual material and to facilitate new forms for their use.

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• Systematically collect nontextual materials• Establish infrastructure and workflows for nontextual materials• Develop a metadata scheme• Develop licensing contracts• Workflow for the digital preservation• Workflow for the assignment of digital object identifiers (DOI)

Competence Centre for non-textual MaterialAims I

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Competence Centre for non-textual Material

• Host and serve content• Create standardized metadata• License media (Open Access Licenses or restrict access if desired)• Link non-textual materials to other research information• Make media searchable, accessible and citeable via TIB´s portals• Distribute metadata to partners like e.g. Europeana

Services

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Film Collections:• 11.200 Documentaries (digital and analog)

Biology (27%), Ethnology (19%), Medicine (11%), TechnicalEngineering (10%), History (5%), Earth Sciences (3%), Physics(7%), Psychology (4%), Chemistry (3%), Miscelleneous (11%)

• 2000 Lectures, Interviews, Conference recordings, Projectrecordings

Datasets:• 1000 OSTI (Physics/Engineering)• 450 CERN (Physics)• 450 Architekturfilm (Architecture)

Competence Centre for non-textual MaterialContent

Estimated new films6000 p.a.

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• Develop media-specific portals which integrate new methodsfor searching, enabled e.g. by automated video analysis, visualor semantic search.

Aims IICompetence Centre for non-textual Material

BEREITSTELLUN

G

3D ObjectsAudiovisual Media

Research Data

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Project: Developement of a Portal for audiovisual mediaAim: Improve access to AV-MediaTime: July 2011 – December 2013Partner: Hasso-Plattner Institut für Softwaresystemtechnik GmbH

Competence Centre for non-textual MaterialAV-Portal

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Project Phases

2010 2011 2012 2013 2014

PartiallyFunctioningprototype

Analysinguser needs

Optimization: Betaoperation

FullOperation

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1. Understand and specify user needs- Personas- Expert interviews- Target group analysis- Benchmarking

2. Specify requirements- Low fidelity prototyping- Focusgroups

3. Produce design solutions- Prototyping

4. Evaluate design against requirements- Usabilitytests I- Eyetracking- Usabilitytests II

System meets user needsand organisationalrequirement

User-Centered-Design Process ISO 9241-210

Competence Centre for non-textual MaterialUsercentered Design Process

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Competence Centre for non-textual MaterialShowcase

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Competence Centre for non-textual MaterialAutomated Analysis

Method of analysis:Scene recognition

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Method of analysis:Speech recognition

Competence Centre for non-textual MaterialAutomated Analysis

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Method of analysis:Text recognition

Competence Centre for non-textual MaterialAutomated Analysis

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Method of analysisImage recognition

Interview, experiment,animation, lecture

Extracted data isconverted into text

Competence Centre for non-textual MaterialAutomated Analysis

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Mapping of the textmodules gained fromthe methods of analysiswith the knowledge base

Method of analysisEntity recognition

Knowledge base

Competence Centre for non-textual MaterialNamed entity recognition

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Competence Centre for non-textual MaterialDemo Prototype

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Thank you for your attention!

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