Ontology-based Knowledge Organization in a Semantic Web for Pathology

Abstract: Digital pathology can be defined as the realization of a completely digitized diagnos-tic process in pathology with fully scanned glass slides. As a consequence, a competitive digital pathology tool should be able to manage the resulting digitized data and allow the pathologists to retrieve and visualize medical reports and corresponding digital slides efficiently. In this pa-per we present a content-based retrieval system for text and image data for the domain of “lung pathology”. The system is intended to overcome the limitations of current approaches in digital pathology, by using a medical knowledge component formalized with Semantic Web representa-tion languages and a semantically-annotated pathology data archive