Automating Annotation of Media with Linked Data Workflows | Zendy

Thomas Wilmering | Zendy; Kevin Page | Zendy; György Fazekas | Zendy; Simon Dixon | Zendy; Sean Bechhofer | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Automating Annotation of Media with Linked Data Workflows

Author(s) -

Thomas Wilmering,

Kevin Page,

György Fazekas,

Simon Dixon,

Sean Bechhofer

Publication year - 2015

Publication title -

research explorer (the university of manchester)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/2740908.2742913

Subject(s) - computer science , metadata , workflow , suite , rdf , annotation , information retrieval , python (programming language) , process (computing) , the internet , world wide web , database , artificial intelligence , semantic web , programming language , archaeology , history

Computational feature extraction provides one means of gathering structured analytic metadata for large media collections. We demonstrate a suite of tools we have developed that automate the process of feature extraction from audio in the Internet Archive. The system constructs an RDF description of the analysis workflow and results which is then reconciled and combined with Linked Data about the recorded performance. This Linked Data and provenance information provides the bridging information necessary to employ analytic output in the generation of structured metadata for the underlying media files, with all data published within the same description framework.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research