Integration of domain-specific and domain-independent ontologies for colonoscopy video database annotation

Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honavar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Flexible and effective indexing of video data so as to render it useful in automated inference and data-driven knowledge acquisition is a key problem in knowledge engineering. In this paper, we present an approach to annotation of a video database using a domain specific ontology, a domain independent video ontology that encodes the structure and attributes of video data. The two ontologies are integrated using domain-specific semantic linkage. The result, an integrated ontology for video annotation (IOVA) is represented in OWL, a description logic based ontology language. We describe a user-friendly platform for video database annotation (VIDAI) using IOVA. We demonstrate the use of IOVA and VIDAI in annotating a database of colonoscopy videos. Video entities are annotated with a combination of domain-independent features and the domain-specific entities. Annotation of video data using IOVA constitutes an important first step towards flexible and fully automated indexing, retrieval, inference, and data-driven knowledge discovery using video data in a broad range of applications including colonoscopy video analysis.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Information and Knowledge Engineering, IKE'04
EditorsH.R. Arabnia
Pages82-88
Number of pages7
StatePublished - Dec 1 2004
EventProceedings of the International Conference on Information and Knowledge Engineering, IKE'04 - Las Vegas, NV, United States
Duration: Jun 21 2004Jun 24 2004

Other

OtherProceedings of the International Conference on Information and Knowledge Engineering, IKE'04
CountryUnited States
CityLas Vegas, NV
Period6/21/046/24/04

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Bao, J., Cao, Y., Tavanapong, W., & Honavar, V. (2004). Integration of domain-specific and domain-independent ontologies for colonoscopy video database annotation. In H. R. Arabnia (Ed.), Proceedings of the International Conference on Information and Knowledge Engineering, IKE'04 (pp. 82-88)