This presentation will demonstrate how to design and build rich end-user search and discovery applications using Linked Data. The Linked Open Data cloud is a rapidly growing collection of publicly accessible resources, which can be adopted and reused to enrich both internal enterprise projects and public-facing information systems.

The presentation will use the Linked Canvas application as its primary use-case. Linked Canvas is an application designed by Synaptica for the cultural heritage community. It enables high-resolution images of artworks and artifacts to be catalogued and subject indexed using Linked Data. The talk will demonstrate how property fields and relational predicates can be adopted from open data ontologies and metadata schemes, such as DCMI, SKOS, IIIF and the Web Annotation Model. Selections of properties and predicates can then be recombined to create Knowledge Organisation Systems (KOS) customized for business applications. The demonstration will also illustrate how very-large-scale subject taxonomies and name authority files, such as the Library of Congress Name Authority File, DBpedia, and the Getty Linked Open Data Vocabularies collection, can be used for content enrichment and indexing.

Before the Q&A session, the talk will conclude by providing a demonstration of Linked Canvas to illustrate various end-user experiences that can be created with Linked Data technology: faceted search across data collections; pinch and zoom navigation inside images; the exploration of concepts and ideas associated with specific points of interest; the discovery of conceptually related images; and the creation of guided tours with embedded audio-visual commentary. Use-cases from several different universities will be illustrated.