Binding semantic to a sketch based query specification tool

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In image retrieval systems, user information needs is expressed using multiple types of query. Unfortunately, due to user subjectivity perception to visual features and semantic depths of images, the conventional query submitted to the system encounter difficulties to identify user information need. The blooming of interest in semantic image retrieval requires current research direction to be more concerned into semantics. This paper describes our on-going research work in formulating a new query approach for image databases. The enabling technologies of the semantic web formed the building blocks of our query specification. Using the MRML as the communication protocol, XML in the form of SVG as the visual content description (sketch based) and RDF for binding the semantic meanings of images, this research provides an initial framework towards semantic based query formulation framework.

Original languageEnglish
Pages (from-to)116-123
Number of pages8
JournalInternational Arab Journal of Information Technology
Volume6
Issue number2
Publication statusPublished - Apr 2009

Fingerprint

Semantics
Specifications
Image retrieval
Semantic Web
XML
Network protocols

Keywords

  • Image retrieval system
  • Multimedia retrieval markup language
  • Semantic retrieval
  • Semantic web

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Binding semantic to a sketch based query specification tool. / Mohd Noah, Shahrul Azman; Sabtu, Saiful.

In: International Arab Journal of Information Technology, Vol. 6, No. 2, 04.2009, p. 116-123.

Research output: Contribution to journalArticle

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