Using Automated Dependency Analysis To Generate Representation Information

TL;DR

This paper introduces an automated dependency analysis technique that captures dynamic performance dependencies in digital media, enabling preservation of representation information across formats without relying solely on format-specific tools.

Contribution

It presents a novel method focusing on analyzing the process behind digital media performance, allowing independent verification and broader applicability for preservation.

Findings

Enables format-independent analysis of digital media dependencies

Supports verification of format-specific characterisation tools

Facilitates preservation of representation information for digital content

Abstract

To preserve access to digital content, we must preserve the representation information that captures the intended interpretation of the data. In particular, we must be able to capture performance dependency requirements, i.e. to identify the other resources that are required in order for the intended interpretation to be constructed successfully. Critically, we must identify the digital objects that are only referenced in the source data, but are embedded in the performance, such as fonts. This paper describes a new technique for analysing the dynamic dependencies of digital media, focussing on analysing the process that underlies the performance, rather than parsing and deconstructing the source data. This allows the results of format-specific characterisation tools to be verified independently, and facilitates the generation of representation information for any digital media format, even when no suitable characterisation tool exists.