An Ontology-based Approach to Retrieve Digitized Art Images
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Visual ontology construction for digitized art image retrieval
Journal of Computer Science and Technology
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Semantic support for medical image search and retrieval
BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
The evolution of visual information retrieval
Journal of Information Science
Image retrieval ++--web image retrieval with an enhanced multi-modality ontology
Multimedia Tools and Applications
An Ontology to Support Adaptive Training for Breast Radiologists
IWDM '08 Proceedings of the 9th international workshop on Digital Mammography
An ontology for breast radiologist training
CATE '07 Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education
Automatic mobile content conversion using semantic image analysis
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Semantic representation of multimedia content
Knowledge-driven multimedia information extraction and ontology evolution
Web services for the DDSM and digital mammography research
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Surveying the reality of semantic image retrieval
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Automatic annotation of images from the practitioner perspective
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Uncertainty modeling for ontology-based mammography annotation with intelligent BI-RADS scoring
Computers in Biology and Medicine
Medical data management in the SYSEO project
ACM SIGMOD Record
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The interpretation of medical evidence is normally presented in terms of a controlled, but diversely expressed specialist vocabulary and natural language phrases. Such informally expressed data require human intervention to ascertain its relevance in any specific case. In order to facilitate machine-based reasoning about the evidence gathered, additional interpretive semantics must be attached to the data; a shift from amerely data-intensive approach to a semantics-rich model of evidence. In this paper, we present a system to formally annotate medical images captured to aid the diagnosis and management of breast cancer, that enables a series of semantics-based operations to be performed. Our approach is grounded upon an imaging ontology specifying the domain knowledge and a Description Logic (DL) taxonomic inferential engine responsible for semantics-based reasoning and image retrieval.