Constructing a Semantic-Based Image Retrieving system – Image Semantic Searching System (ISSS)

نویسندگان

  • Yi Liu
  • Peiyi Xiao
  • Michael C. Wimberly
چکیده

Because of the great volume of image resources produced and gathered on the web for public browsing, image retrieving tools and systems play an important role for users in retrieving image resources. A novel image retrieving system, the Image Semantic Search System (ISSS), was designed and implemented based on semantic web concepts and techniques. The paper illustrates the methodology for designing the sematic search system to provide user friendly interfaces and relevant searching results. The paper also presents the architectural design and implementation of the system and uses a case study to demonstrate the application

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تاریخ انتشار 2013