Abstract
This paper presents ArtVision, a Semantic Web application that integrates computer vision APIs with the ResearchSpace platform, allowing for the matching of similar artworks and photographs across cultural heritage image collections. The field of Digital Art History stands to benefit a great deal from computer vision, as numerous projects have already made good progress in tackling issues of visual similarity, artwork classification, style detection, gesture analysis, among others. Pharos, the International Consortium of Photo Archives, is building its platform using the ResearchSpace knowledge system, an open-source semantic web platform that allows heritage institutions to publish and enrich collections as Linked Open Data through the CIDOC-CRM, and other ontologies. Using the images and artwork data of Pharos collections, this paper outlines the methodologies used to integrate visual similarity data from a number of computer vision APIs, allowing users to discover similar artworks and generate canonical URIs for each artwork.
Highlights
R The matching of visually similar artworks across cultural heritage image collections, in particular when applied R to two-dimensional works, has been a topic of growing interest to scholars and institutions [12,18]
This paper provides a report on some ComputerO Vision (CV) APIs and their applicability C to the cultural heritage domain, its main focus is to provide a report on a Semantic Web application that enables institutions to link artworks across collections and generate canonical URIs for each work
Through SPARQL federation across REST APIs, the ArtVision application allows users to upload an image to the platform and find visually similar artworks from the Pharos collections in real-time
Summary
R The matching of visually similar artworks across cultural heritage image collections, in particular when applied R to two-dimensional works, has been a topic of growing interest to scholars and institutions [12,18]. This paper provides a report on some CV APIs and their applicability C to the cultural heritage domain, its main focus is to provide a report on a Semantic Web application that enables institutions to link artworks across collections and generate canonical URIs for each work. The platform makes these tools available to non-technical users and provides open access to artwork similarity data through a SPARQL endpoint for interpretation and reuse. Through SPARQL federation across REST APIs, the ArtVision application allows users to upload an image to the platform and find visually similar artworks from the Pharos collections in real-time
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