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V4Ann: Representation and Interlinking of Atom-Based Annotations of Digital Content
[chapter]
2019
Lecture Notes in Computer Science
There is a great potential in creative industries, such as architecture and video game design, for re-using and re-purposing of digital content. Paintings, archival footage, documentaries, movies, reviews or catalogues, and various other forms of artwork can serve as sources of inspiration and design direction towards innovative designs and new concepts. In this paper, we present V4Ann, an ontology-based framework for semantically representing, aggregating and combining annotations (atoms)
doi:10.1007/978-3-030-33220-4_10
fatcat:b3u6bz5prjgzreqwagxrd6dsp4