CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence
Salvatore Carta, Sergio Consoli, Alessandro Giuliani, Alessandro Sebastian Podda, Diego Reforgiato Recupero · IEEE Access · 2022
In this paper, we propose an innovative tool able to enrich cultural and creative spots (gems, hereinafter) extracted from the European CommissionCultural Gemsportal, by suggesting relevant keywords (tags) and YouTube videos (represented with properthumbnails). On the one hand, the system queries the YouTube search portal, selects the videos most related to the givengem, and extracts a set of meaningful thumbnails for each video. On the other hand, each tag is selected by identifying semantically related popular search queries (i.e., trends). In particular, trends are retrieved by querying the Google Trends platform. A further novelty is that our system suggests contents in a dynamic way. Indeed, as for both YouTube and Google Trends platforms the results of a given query include the most popular videos/trends, such that agemmay constantly be updated with trendy content by periodically running the tool. The system has been tested on a set ofgemsand evaluated with the support of human annotators. The results highlighted the effectiveness of our proposal.