Social and Behavioral Sciences Commons^™

Semantic Ontologies For Multimedia Indexing (Somi): Application In The E-Library Domain, Issam Bendib, Mohamed Ridda Laouar, Richard Hacken, Mathew Miles

Faculty Publications

Purpose – The overwhelming speed and scale of digital media production greatly outpace conventional indexing methods by humans. The management of Big Data for e-library speech resources requires an automated metadata solution.

Design/methodology/approach - A conceptual model called Semantic Ontologies for Multimedia Indexing (SOMI) allows for assembly of the speech objects, encapsulation of semantic associations between phonic units, and the definition of indexing techniques designed to invoke and maximize the semantic ontologies for indexing. A literature review and architectural overview are followed by evaluation techniques and a conclusion.

Findings - This approach is only possible because of recent innovations in …