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Linked Data Based Video Annotation and Browsing for Distance Learning

Linked Data Based Video Annotation and Browsing for Distance Learning
Linked Data Based Video Annotation and Browsing for Distance Learning
We present a pair of prototype tools that enable users to mark up video with annotations and later explore related materials using Semantic Web and Linked Data approaches. The first tool helps academics preparing Open University course materials to mark up videos with information about the subject matter and audio-visual content. The second tool enables users, such as students or academics, to find video and other materials relevant to their study.
Lambert, Dave
5d4a5265-f914-4d0d-9e4e-c663f02c21b0
Yu, Hong Qing
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Lambert, Dave
5d4a5265-f914-4d0d-9e4e-c663f02c21b0
Yu, Hong Qing
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Lambert, Dave and Yu, Hong Qing (2010) Linked Data Based Video Annotation and Browsing for Distance Learning. The 2nd International Workshop on Semantic Web Applications in Higher Education (SemHE'10), University of Southampton, Southampton, United Kingdom.

Record type: Conference or Workshop Item (Paper)

Abstract

We present a pair of prototype tools that enable users to mark up video with annotations and later explore related materials using Semantic Web and Linked Data approaches. The first tool helps academics preparing Open University course materials to mark up videos with information about the subject matter and audio-visual content. The second tool enables users, such as students or academics, to find video and other materials relevant to their study.

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More information

Published date: 3 November 2010
Venue - Dates: The 2nd International Workshop on Semantic Web Applications in Higher Education (SemHE'10), University of Southampton, Southampton, United Kingdom, 2010-11-03
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 271751
URI: http://eprints.soton.ac.uk/id/eprint/271751
PURE UUID: 68c2b4f3-8ff4-4917-94ae-8a7fc5c36cda

Catalogue record

Date deposited: 05 Dec 2010 19:37
Last modified: 14 Mar 2024 09:38

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Contributors

Author: Dave Lambert
Author: Hong Qing Yu

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