  In spite of the development of content-based data management, text-based
searching remains the primary means of multimedia retrieval in many areas.
Automatic creation of text metadata is thus a crucial tool for increasing the
findability of multimedia objects. Search-based annotation tools try to provide
content-descriptive keywords by exploiting web data, which are easily available
but unstructured and noisy. Such data need to be analyzed with the help of
semantic resources that provide knowledge about objects and relationships in a
given domain. In this paper, we focus on the task of general-purpose image
annotation and present the VCO, a new ontology of visual concepts developed as
a part of image annotation framework. The ontology is linked with the WordNet
lexical database, so the annotation tools can easily integrate information from
both these resources.
