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Anatomical Knowledge Representation:

Attempting Querying Integration on VHD via UMLS

Pietro Cerveri^a, Marco Masseroli^a,
Francesco Pinciroli^a, Luisa Portoni^b and Laura Vizzotto^c

^aDipartimento di Bioingegneria, Politecnico di Milano, I-20139 Milan – Italy
^b3D Image Processing and Synthesis Laboratory, ISIS, European Commission JRC, I-21020 Ispra (VA) - Italy
^cIstituto Anatomia Umana Normale, Università di Milano, I-20139 Milan - Italy ,
cerveri@biomed.polimi.it, masseroli@biomed.polimi.it, pinciroli@biomed.polimi.it, luisa.portoni@jrc.it , Laura.Vizzotto@unimi.it

Abstract
The paper presents a novel internet-based application that provides access to anatomy knowledge through symbolic modality expressed by keywords taken from controlled or non-controlled terminology. The system is based on a database where anatomical concepts have been organized into a hierarchical framework. Along with term queries that allow retrieving concepts containing or exactly matching the used keyword, the system provides semantic access to anatomical information. Queries can be setup, which retrieves concepts relying to a particular meaning, and have to share a particular relationship. Moreover the application has the capability to refine the search of the terms by querying the UMLS knowledge server. Anatomical image data have been integrating by using Visible Human Dataset source. A set of these images has been indexed according to our anatomical classification and used inside the application. The system has been all implemented through Java client-server technology and works within standard Internet browsers.

Keywords: Anatomical knowledge representation and visualization, image database, java technology.

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