Semantic annotation and retrieval of image collections

Taha Osman, Dhavalkumar Thakker, Gerald Schaefer, Maxime Leroy, Alain Fournier, Christophe Claramunt*

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication


In order to maximise the benefit of the colossal repository of digital images available both publicly and in private collections, intelligent matchmaking tools are required. Unfortunately, most image search engines rely on free-text search that often returns inaccurate sets of results based on the recurrence of the search keywords in the text accompanying the images. In this paper we present a semantically-enabled image annotation and retrieval engine that relies on methodically structured ontologies for image annotation, thus allowing for more intelligent reasoning about the image content and subsequently obtaining a more accurate set of results and a richer set of alternatives matchmaking the original query.

Original languageEnglish
Title of host publication21st European Conference on Modelling and Simulation: Simulations in United Europe, ECMS 2007
Number of pages6
Publication statusPublished - 1 Dec 2007
Event21st European Conference on Modelling and Simulation, ECMS 2007 - Prague, United Kingdom
Duration: 4 Jun 20076 Jun 2007


Conference21st European Conference on Modelling and Simulation, ECMS 2007
Country/TerritoryUnited Kingdom


  • Digital libraries
  • Image annotation
  • Image retrieval
  • Ontology engineering
  • Semantic web


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