A Survey on Multimedia Ontologies for a Semantic Annotation of Cinematographic Resources for the Web of Data

Journal Title: Acadlore Transactions on AI and Machine Learning - Year 2022, Vol 1, Issue 1

Abstract

The Semantic Web provides approaches and tools that allow for the processing and analysis of online content, including multimedia resources. Multimedia resources like videos, audios, and photos are increasingly common in contemporary Web content. Cinematographic works (also known as film contents) stand out among these resources as one of the most recent attractions on the Internet. An important tool employed recently in the semantic indexation of digital resources and film content is ontological annotation. This paper studies the current multimedia ontologies related to the film contents on the web. The relevant indicators were discussed comparatively, and some open issues were reviewed in details. In this way, the authors managed to integrate the metadata related to online films practically into the web of data.

Authors and Affiliations

Samdalle Amaria,Kaladzavi Guidedi,Warda Lazarre,Kolyang

Keywords

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  • EP ID EP731867
  • DOI https://doi.org/10.56578/ataiml010102
  • Views 72
  • Downloads 0

How To Cite

Samdalle Amaria, Kaladzavi Guidedi, Warda Lazarre, Kolyang (2022). A Survey on Multimedia Ontologies for a Semantic Annotation of Cinematographic Resources for the Web of Data. Acadlore Transactions on AI and Machine Learning, 1(1), -. https://www.europub.co.uk/articles/-A-731867