The Internet of Things is transforming the way buildings are operated and managed by interconnecting things in order to tackle several challenges such as energy efficiency, occupancy analytics, physical security, and a better user productivity.
In the domain of buildings and real estate management, various sensors, actuators, gateways, and systems are deployed to collect several types of data such as contextual, environmental, or operations related.
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) coming from visual and textual analysis of digital content.