OntoCin: A Multimedia Ontology for the Semantic Indexation of Cinematographic Resources on the Web of Data

Abstract

The flood of Multimedia Resources on the Web of Data and offline platforms is a clear proof of the increase of such resources in day-to-day activities of modern society, especially web series, documentaries, fictions, etc. Multimedia Ontologies applied to film-related features entail to describe not only the film production process, but also their social and environmental inferences (with cultures, attractive sites, etc.). The insufficient insight of annotated features in existing ontologies affects retrieval accuracy on useful facts necessary in today's society. This paper presents a Multimedia Ontology for the co-construction and indexing of Cinematographic resources (OntoCin) on the Semantic Web, built on the Human Activity Theory (HAT) modelling approach and the Competency-based Questions Methodology which allowed to scope cinematographic knowledge. This ontology enables information retrieval by enhancing annotation and indexing of scenes, emotions, shooting places (touristic sites), film-users' preferences, socio-cultural knowledge and impressions on the Web of Data. We made some queries on the ontology and came out with results. This helped to set ground for a semantic wiki architecture that will facilitate the co-construction of multimedia resources based on this Multimedia Ontology.