pericles technical appraisal tool - ‘eye of the storm: preserving digital content in an...
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GRANT AGREEMENT: 601138 | SCHEME FP7 ICT 2011.4.3 Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics [Digital Preservation]
“This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no601138”.
TECHNICAL APPRAISAL TOOLSimon Waddington (King’s College London)Jun Zhang (King’s College London)
Overview Introduction
Appraisal of digital objects at Tate
Functionality
Features
Architecture and implementation
Introduction Technical appraisal is the process of
determining the (on-going) feasibility of preserving the digital objects◦ Maintenance in a reusable form ◦ Takes into account obsolescence of software,
formats etc.
Aim to produce a general purpose tool◦ Conference demonstrator is for digital video
Digital video art at Tate
Circa 500 video artworks, increasing at c. 50 works per year
Limited (though increasing) and familiar technologies. In-house experience and regular use.
Production environment similar to quality checking environment.
Existing network of experts Common technologies within the communities of Practice
Bruce Nauman, Violent Incident 1986 (T06732)
FeaturesDemonstrates use of:
External data sources to estimate risk (e.g. obsolescence, hardware failure)
◦ Search engines◦ Software repositories◦ Wikipedia
Ecosystem models◦ PERICLES Digital Video Art (DVA) (extended) ontology and
Linked Resource Model (LRM)◦ Captures dependencies between artwork components ◦ Represents expert knowledge about video playback
Functionality Collection and object level risk assessment for complex
digital objects◦ Support proximity estimation and confidence estimates
Component level risk analysis ◦ Identify high-risk components across collections◦ Provide graphical views
Object-level risk analysis◦ Presents risks to individual components in an object◦ Determine potential recoverability actions
Link to MICE tool for impact visualisation (in progress)
Architecture and implementation
Service Layer
External Data Sources
Storage Layer
User Interface
Web Server
Metadata Extraction
Statistical Analysis
Risk-impact
Analysis
Instance Store
Knowledge Base
Data Harvester
Java web services framework based on Apache Tomcat
Components written in R and Python
User interface uses HTML5, JavaScript and CSS3
Due for release – first quarter of 2017