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Information extraction from multimedia web documents: an open-source platform and testbed

journal contribution
posted on 2024-11-02, 04:51 authored by David Dupplaw, Michael Matthews, Richard Johansson, Giulia Boato, Andrea Costanzo, Marco Fontani, Enrico Minack, Elena Demidova, Roi Blanco Gonzalez, Thomas Griffiths, Paul Lewis, Jonathon Hare, Alessandro Moschitti
The LivingKnowledge project aimed to enhance the current state of the art in search, retrieval and knowledge management on the web by advancing the use of sentiment and opinion analysis within multimedia applications. To achieve this aim, a diverse set of novel and complementary analysis techniques have been integrated into a single, but extensible software platform on which such applications can be built. The platform combines state-of-the-art techniques for extracting facts, opinions and sentiment from multimedia documents, and unlike earlier platforms, it exploits both visual and textual techniques to support multimedia information retrieval. Foreseeing the usefulness of this software in the wider community, the platform has been made generally available as an open-source project. This paper describes the platform design, gives an overview of the analysis algorithms integrated into the system and describes two applications that utilise the system for multimedia information retrieval.

History

Journal

International Journal of Multimedia Information Retrieval

Volume

3

Issue

2

Start page

97

End page

111

Total pages

15

Publisher

Springer

Place published

United Kingdom

Language

English

Copyright

© 2014, Springer-Verlag London.

Former Identifier

2006077236

Esploro creation date

2020-06-22

Fedora creation date

2017-08-28

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