ImageSpace: An Environment for Image Ontology Management
Shiyong Lu, Rong Huang, Artem Chebotko, Yu Deng, Farshad Fotouhi

TL;DR
ImageSpace is a comprehensive tool for creating, visualizing, annotating, and storing image ontologies using DAML+OIL, aimed at advancing Semantic Web image repositories.
Contribution
It introduces an integrated environment supporting image ontology management with features like visualization, annotation, and database storage, enhancing Semantic Web development.
Findings
Supports full DAML+OIL standard
Integrates visualization and annotation in one framework
Ensures ontology consistency and database storage
Abstract
More and more researchers have realized that ontologies will play a critical role in the development of the Semantic Web, the next generation Web in which content is not only consumable by humans, but also by software agents. The development of tools to support ontology management including creation, visualization, annotation, database storage, and retrieval is thus extremely important. We have developed ImageSpace, an image ontology creation and annotation tool that features (1) full support for the standard web ontology language DAML+OIL; (2) image ontology creation, visualization, image annotation and display in one integrated framework; (3) ontology consistency assurance; and (4) storing ontologies and annotations in relational databases. It is expected that the availability of such a tool will greatly facilitate the creation of image repositories as islands of the Semantic Web.
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Taxonomy
TopicsSemantic Web and Ontologies · Biomedical Text Mining and Ontologies · Image Retrieval and Classification Techniques
