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AnnotSemRec: An RDF Based Semantic Framework for Personalized Web Image Search

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Hybrid Intelligent Systems (HIS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1375))

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Abstract

With the increasing amounts of image and multimedia content on the World Wide Web, it is quite essential to retrieve images with maximum relevance and minimum deviations from the search query. The traditional content-based Image Retrieval algorithms are not compliant with the evolving Semantic Web. In this paper, a framework for Web Image Recommendation has been proposed that hybridizes Adaptive Normalized Compression Distance and Adaptive Pointwise Mutual Information strategies with varied and differential thresholds. The proposed framework facilitates ontology modeling for canonically synonymous terms that serve as an intelligent training strategy for web image retrieval. The proposed strategy for web image recommendation is annotations based that uses the context information of the image rather than the image features. The proposed web image retrieval is initiated by the query and driven by capturing user intentions dynamically incorporating the strategic query expansion technique. An overall F-Measure of 96.17% has been achieved.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, India

    Gerard Deepak & A. Santhanavijayan

Authors
  1. Gerard Deepak
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  2. A. Santhanavijayan
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Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Solothurn, Switzerland

    Thomas Hanne

  3. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, AL, USA

    Niketa Gandhi

  5. Universidade Federal da Bahia, Salvador, Bahia, Brazil

    Tatiane Nogueira Rios

  6. Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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Deepak, G., Santhanavijayan, A. (2021). AnnotSemRec: An RDF Based Semantic Framework for Personalized Web Image Search. In: Abraham, A., Hanne, T., Castillo, O., Gandhi, N., Nogueira Rios, T., Hong, TP. (eds) Hybrid Intelligent Systems. HIS 2020. Advances in Intelligent Systems and Computing, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-73050-5_41

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