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Multiple Ontology-Based Indexing of Multimedia Documents on the World Wide Web

  • Mohammed Maree
  • Mohammed Belkhatir
  • Fariza Fauzi
  • Aseel B. Kmail
  • Ahmad Ewais
  • Muath Sabha
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 57)

Abstract

In order to cope with the growing need to search multimedia documents with precision on the Web, we propose a multimedia conceptual indexing framework incorporating semantic relations between annotation words. To do this, we utilize our DOM Tree-based Webpage segmentation algorithm to automatically extract surrounding textual information of the multimedia documents in Webpages. Next, we employ knowledge represented in multiple ontologies to discover the latent semantic dimensions of the surrounding textual information. As a consequence, indexes (represented as semantic networks) are constructed where nodes of each network capture words that exist in the ontologies and edges represent the semantic relations that hold between those words. To address the semantic heterogeneity problem between the produced networks, we employ a multi-level merging algorithm that combines heterogeneous networks into a more coherent network. Additionally, we utilize concept-relatedness measures to address the issue of unrecognized entities by the ontologies. We evaluate the techniques of the proposed framework using three different multimedia dataset types. Experimental results indicate that the proposed techniques are effective and precise.

Keywords

Multimedia indexing Webpage segmentation Ontology 

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© Springer International Publishing Switzerland 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Mohammed Maree
    • 1
  • Mohammed Belkhatir
    • 2
  • Fariza Fauzi
    • 3
  • Aseel B. Kmail
    • 4
  • Ahmad Ewais
    • 4
  • Muath Sabha
    • 1
  1. 1.Faculty of Engineering and Information Technology, Multimedia Technology DepartmentThe Arab American UniversityJeninPalestine
  2. 2.University of LyonCampus de La DouaFrance
  3. 3.Department of Engineering ScienceUniversity of AucklandAucklandNew Zealand
  4. 4.Faculty of Engineering and Information Technology, Computer Science DepartmentThe Arab American UniversityJeninPalestine

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