Choudhury, Smitashree and Breslin, John G.
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This paper describes an ongoing prototypical framework to annotate and retrieve web videos with light semantics. The proposed framework reuses many existing vocabularies along with a video model. The knowledge is captured from three different information spaces (media content, context, document). We also describe ways to extract the semantic content descriptions from the existing usergenerated content using multiple approaches of linguistic processing and Named Entity Recognition, which are later identified with DBpedia resources to establish meanings for the tags. Finally, the implemented prototype is described with multiple search interfaces and retrieval processes. Evaluation on semantic enrichment shows a considerable (50% of videos) improvement in content description.
|Item Type:||Conference Item|
|Copyright Holders:||2010 IARIA|
|Extra Information:||Published in: Proceedings of SEMAPRO 2010: The Fourth International Conference on Advances in Semantic Processing, ISBN 978-1-61208-104-5, pp. 126-131.|
|Keywords:||social media; multimedia semantics; semantic web; linked open data; semantic search|
|Academic Unit/Department:||Knowledge Media Institute|
|Depositing User:||Smitashree Choudhury|
|Date Deposited:||07 Feb 2012 14:05|
|Last Modified:||27 Mar 2016 08:21|
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