Ontology-Based Concept Indexing of Images

  • Rossitza Setchi
  • Qiao Tang
  • Carole Bouchard
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5711)


The search for inspirational images is an important part of creative design. When identifying inspirational materials, designers search semantic domains that are different from the target domain and use semantic adjectives in combination with the traditionally used keywords. This paper describes research conducted within the TRENDS project, which aimed at developing a software tool for the needs of concept cars designers. The goal was to assist them with the process of collecting inspirational images from various sectors of influence. The paper describes the ontology tagging algorithm developed to index the images in the TRENDS database using concepts from two ontologies: a generic ontology called OntoRo, and a domain-specific ontology CTA developed for the needs of the project. The paper presents the evaluation of the developed algorithm and suggests areas for further research.


Concept indexing semantic indexing ontology-based annotation semantic search ontology tagging 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Rossitza Setchi
    • 1
  • Qiao Tang
    • 2
  • Carole Bouchard
    • 3
  1. 1.School of EngineeringCardiff UniversityCardiffUK
  2. 2.Beijing Digital China LimitedBeijingChina
  3. 3.Laboratory of New Product Design and InnovationEcole Nationale, Supérieure des Arts et MétiersParisFrance

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