Image and its semantic role in search problem

Faculty / School

Faculty of Computer Sciences (FCS)


Department of Computer Science

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Document Type

Conference Paper

Publication Date


Conference Name

4th International Conference on Intelligent Computing (ICIC 2008)

Conference Location

Shangai, China

Conference Dates

15-18 September 2008


85025116701 (Scopus)



First Page


Last Page



Springer, Berlin, Heidelberg

Abstract / Description

The world has now shrunk and information today exists in many forms ranging from text to videos. An overloaded World Wide Web, full of data makes it difficult to extract information from that data and this has given birth to a new phenomenon in the computer industry which is the search engine technology. Image that contains dense information has not yet found its real interpretation over search engines. In this paper we practice application of Semantic Web concepts and propose a standard dimension in image structures in order to improve searching ability in image search engines. An image annotation tool, called "SemImage", was developed which allows users to annotate an image with various ontologies and JPEG was taken as a case-study. This work describes our initial research efforts in semantics-based searching driven by ontological standards for images which we refer to as Image SemSearch.

Citation/Publisher Attribution

Touheed, N., Saeed, M., Qureshi, M. A., & Younus, A. (2008, September). Image and Its Semantic Role in Search Problem. In International Conference on Intelligent Computing (pp. 388-397). Springer, Berlin, Heidelberg.