JACIII Vol.14 No.2 pp. 155-159
doi: 10.20965/jaciii.2010.p0155


Management System for Tagged Image Databases Using Lattice Structures

Kazuhito Sawase and Hajime Nobuhara

Department of Intelligent Interaction Technologies, University of Tsukuba, 1-1-1 Tenoudai, Tsukuba science city, Ibaraki 305-8573, Japan

July 2, 2009
July 29, 2009
March 20, 2010
formal concept analysis, lattice structure, information visualization, image management system, Hasse diagram
Tagged Image Management System based on Lattice Structures (TaILaS), the next-generation management we propose for a large number of images, constructs a concept lattice from image tags using formal concept analysis, then visualizes the Hasse diagram of this lattice for any numbers of images. TaILaS enables users to avoid having to classify images which are difficult to divide into folders. TaILaS runs on a conventional computer (CPU = 2.13 GHz,MM= 2 GB) and is implemented in Processing as a Java-based programming language. Experiments involving 11 subjects using 100 images selected from the Corel Image Gallery confirmed that TaILaS manages huge image databases effectively.
Cite this article as:
K. Sawase and H. Nobuhara, “Management System for Tagged Image Databases Using Lattice Structures,” J. Adv. Comput. Intell. Intell. Inform., Vol.14 No.2, pp. 155-159, 2010.
Data files:
  1. [1] A. Silberschatz, P. Galvin, and G. Gagne, “Operating System Concepts, John Wiley,” & Sons, 2005.
  2. [2] B. A. Davey and H. A. Priestley, “Introduction to Lattices and Order,” Cambridge University Press, 2002.
  3. [3],
  4. [4] B. Fry, “Visualizing Data,” O’REILLY, 2007.
  5. [5] B. Ganter and R. Wille, “Formal Concept Analysis: Mathematical Foundations,” Springer, 1999.
  6. [6] B. Ganter, G. Stumme, and R. Wille, eds., “Formal Concept Analysis: Foundation and Application,” LNAI 3626, 2005.

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