WordNet: a lexical database for English
Communications of the ACM
Formalising bio-spatial knowledge
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
Building Domain Ontology Based on Web Data and Generic Ontology
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
IEEE Intelligent Systems
Using Text Mining to Enrich the Vocabulary of Domain Ontologies
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Efficient reasoning with RCC-3D
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
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Recently there has been much interest in using ontologies to facilitate knowledge representation, integration, and reasoning. Correspondingly, the extent of the information embodied by an ontology is increasing beyond the conventional is_a and part_of relationships. To address these requirements, a vast amount of digitally available information may need to be considered when building ontologies, prompting a desire for software tools to automate at least part of the process. The main efforts in this direction have involved textual information retrieval and extraction methods. For some domains extension of the basic relationships could be enhanced further by the analysis of 2D and/or 3D images. For this type of media, image processing algorithms are more appropriate than textual analysis methods. Herein we present an algorithm that, given a collection of 3D image files, utilizes Qualitative Spatial Reasoning (QSR) to automate the creation of an ontology for the objects represented by the images, relating the objects in terms of is_a and part_of relationships and also through unambiguous Relational Connection Calculus (RCC) relations.