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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Towards Using Semantic-Web Technologies for Multi-Modal Knowledge Graph Construction
Organization Unit
Authors
  • Matthias Baumgartner
  • Luca Rossetto
  • Abraham Bernstein
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 9781450379885
Page Range 4645 - 4649
Event Title MM '20: The 28th ACM International Conference on Multimedia
Event Type conference
Event Location Seattle WA USA
Event Start Date November 12 - 2020
Event End Date November 16 - 2020
Place of Publication New York, NY, USA
Publisher ACM
Abstract Text While a multitude of approaches for extracting semantic information from multimedia documents has emerged in recent years, isolating any form of holistic semantic representation from a larger type of document, such as a movie, is not yet feasible. In this paper we present our approaches used in the first instance of the Deep Video Understanding Challenge, using a combination of several multi-modal detectors and an integration scheme informed by methods from the semantic web context in order to determine the capabilities limitations of currently available methods for the extraction of semantic relations between the characters and locations relevant to the narrative of a movie.
Digital Object Identifier 10.1145/3394171.3416292
Other Identification Number merlin-id:19868
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