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International Conference on Web Information Systems Engineering

WISE 2010: Web Information Systems Engineering – WISE 2010 Workshops pp 184–197Cite as

Image123: A “Web1.0+Web2.0+Semantic Web” Based Image Retrieval System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6724))

Abstract

This paper presents Image123, a novel keyword-based image retrieval system, which retrieves image results from Web1.0 and Web2.0 applications and offers semantic query suggestions derived from Web2.0 and Semantic Web (aka.Web3.0) to facilitate its users during search. The proposed query suggestion mechanism obtains relevant terms from the Semantic Web and Flickr’s folksonomy, and then computes term weights based on semantics relations and co-occurrence statistics. Unlike existing image search systems, Image123 offers query suggestions for either single-word or compound-word inputs and retrieves image results from different image resources. A prototype system has been developed and preliminary experimental outcomes indicate that the proposed system is feasible and useful.

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Author information

Authors and Affiliations

  1. School of Technology, Shinawatra University, 99 Moo 10 Bangtoey, Samkok, Pathum Thani, 12160, Thailand

    Rachanee Ungrangsi & Chutiporn Anutariya

Authors
  1. Rachanee Ungrangsi
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  2. Chutiporn Anutariya
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Editor information

Editors and Affiliations

  1. Dickson Computer Systems, 7A Victory Avenue 4/F Homantin, Kowloon, Hong Kong, China

    Dickson K. W. Chiu

  2. Ecole Nationale Supérieure de Mécanique et d’Aréotechnique, Laboratoire d’Informatique Scientifique et Industrielle, Téléport 2 - avenue Clément Ader, 86961, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  3. Dept. of Computer Science and Engineering, Ritsumeikan University, Wakakusa 6-4-10, 525-0045, Kusatu, Shiga, Japan

    Hideyasu Sasaki

  4. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Sha Tin, Hong Kong, China

    Ho-fung Leung

  5. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

    Shing-Chi Cheung

  6. School of Computer Science, Hangshou Dianzi University, Xiasha Higher Education Zone, 310018, Hanshou City, Zhejiang, China

    Haiyang Hu

  7. Department of Computer Science and Software Engineering, The University of Melbourne, 3010, Parkville, Victoria, Australia

    Jie Shao

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© 2011 Springer-Verlag Berlin Heidelberg

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Ungrangsi, R., Anutariya, C. (2011). Image123: A “Web1.0+Web2.0+Semantic Web” Based Image Retrieval System. In: Chiu, D.K.W., et al. Web Information Systems Engineering – WISE 2010 Workshops. WISE 2010. Lecture Notes in Computer Science, vol 6724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24396-7_15

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  • DOI: https://doi.org/10.1007/978-3-642-24396-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24395-0

  • Online ISBN: 978-3-642-24396-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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