We plan to extend our current system to cover the indexing, retrieval and metadata augmentation of digital cultural objects. Our work will comply with the CCO (Cataloguing Cultural Objects) data content standards for describing cultural objects. New, standardised representation schemes and more advanced abstract transformation and inferencing modules will be developed and evaluated using a sample collection from the Smithsonian American Art Archives.

Current approaches to the retrieval of digital cultural objects are limited because they are keyword-based and cannot deal with high-level abstract concepts. This project aims to integrate the content-based approach of computer vision with the descriptive-based, metadata approach of information to provide more effective techniques for the indexing and retrieval of cultural objects.