Creating enriched YouTube media fragments With NERD using timed-text

Li, Yunjia, Rizzo, Giuseppe, Troncy, Raphael, Wald, Mike and Wills, Gary (2012) Creating enriched YouTube media fragments With NERD using timed-text. At 11th International Semantic Web Conference (ISWC2012), Boston, US, 11 - 15 Nov 2012. 4pp.


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This demo enables the automatic creation of semantically annotated YouTube media fragments. A video is first ingested in the Synote system and a new method enables to retrieve its associated subtitles or closed captions. Next, NERD is used to extract named entities from the transcripts which are then temporally aligned with the video. The entities are disambiguated in the LOD cloud and a user interface enables to browse through the entities detected in a video or get more information. We evaluated our application with 60 videos from 3 YouTube channels.

Item Type: Conference or Workshop Item (Poster)
Keywords: media fragment, media annotation, NERD
Subjects: P Language and Literature > PN Literature (General) > PN1990 Broadcasting
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 342577
Accepted Date and Publication Date:
November 2012Published
Date Deposited: 10 Sep 2012 13:44
Last Modified: 31 Mar 2016 14:33
Further Information:Google Scholar

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