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Qualifying Audiovisual Searching Results with Ontologies and Semantic Algorithms

Authors:
Luiz A. G. Rolim
Ismael Avila
Alexandre F. S. Osorio

Keywords: ontology; metadata; audiovisual; content searching; semantic algorithm

Abstract:
Multimedia capabilities in end-user terminals, improvements on audiovisual (AV) encoding technologies and the ease of handling AV contents in the Internet have all contributed to the growing use of this media on the Web. Nowadays, searching for videos has become as common as searching for documents, news, web pages or other types of media, being the amount of non-relevant results returned as response to user’s queries a common problem posed by the majority of searching engines. Among the myriad of approaches under consideration for qualifying the results of the queries, the usage of semantic technologies is one of the most attracting techniques. In this work, we present how an OWL ontology of subjects, or themes, can improve the efficiency of searching engines through the adoption of semantic algorithms operating over selected contents metadata descriptors based on DCMI and MPEG-7 standards. The main goal is to develop an algorithm that explores the semantic relationships of the supporting ontology and allow searching engines to return results that more appropriately match the actual interest of the end-users.

Pages: 1 to 5

Copyright: Copyright (c) The Government of Brazil, 2011. Used by permission to IARIA.

Publication date: November 20, 2011

Published in: conference

ISSN: 2308-4510

ISBN: 978-1-61208-175-5

Location: Lisbon, Portugal

Dates: from November 20, 2011 to November 25, 2011