The Digital Anatomist Foundational Model Server

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Using the Semantic Grid to Build Bridges between Museums and Indigenous Communities

In this paper we describe a Semantic Grid application designed to enable museums and indigenous communities in distributed locations, to collaboratively discuss, describe, annotate and define the rights associated with objects in museums that originally belonged to or are of cultural or historical significance to indigenous groups. By extending and refining an existing application, Vannotea, we enable users on access grid nodes to collaboratively attach descriptive, rights and tribal care metadata and annotations to digital images, video or 3D representations. The aim is to deploy the software within museums to enable the traditional owners to describe and contextualize museum content in their own words and from their own perspectives. This sharing and exchange of knowledge will hopefully revitalize cultures eroded through colonization and globalization and repair and strengthen relationships between museums and indigenous communities

A Query Integrator and Manager for the Query Web

We introduce two concepts: the Query Web as a layer of interconnected queries over the document web and the semantic web, and a Query Web Integrator and Manager (QI) that enables the Query Web to evolve. QI permits users to write, save and reuse queries over any web accessible source, including other queries saved in other installations of QI. The saved queries may be in any language (e.g. SPARQL, XQuery); the only condition for interconnection is that the queries return their results in some form of XML. This condition allows queries to chain off each other, and to be written in whatever language is appropriate for the task. We illustrate the potential use of QI for several biomedical use cases, including ontology view generation using a combination of graph-based and logical approaches, value set generation for clinical data management, image annotation using terminology obtained from an ontology web service, ontology-driven brain imaging data integration, small-scale clinical data integration, and wider-scale clinical data integration. Such use cases illustrate the current range of applications of QI and lead us to speculate about the potential evolution from smaller groups of interconnected queries into a larger query network that layers over the document and semantic web. The resulting Query Web could greatly aid researchers and others who now have to manually navigate through multiple information sources in order to answer specific questions

Una arquitectura basada en ontologías para anotación semántica de imágenes en el dominio de la biomedicina

Con el objetivo de ayudar a los usuarios a traducir sus necesidades de información en estrategias efectivas de búsquedas, es propuesta una arquitectura que soporta el proceso de anotación semántica de imágenes en el dominio médico usando múltiples fuentes de información, pudiendo estas ser ontologías, taxonomías, vocabularios controlados y metatesauros. La arquitectura propuesta se basa en el uso de dos ontologías, una para describir el contenido de la imagen y sus respectivas regiones y otra para mapear las descripciones de cada imagen con los conceptos que se encuentran en las diversas fuentes de información. Este mapeamento permite enriquecer la imagen con contenido semántico posibilitando la interpretación, por parte del computador, de los conceptos representados en cada región. La idea es que el usuario al seleccionar una región de la imagen, se extraiga una lista de términos para usarse como consulta en sistemas de recuperación de información. El uso de ontologías permite extender esta consulta usando diversos tipos de relaciones como por ejemplo sinónimos, nombres escritos en otros idiomas, enfermedades relacionadas, síntomas, tratamientos, entre otros.Sociedad Argentina de Informática e Investigación Operativ

A Portable Image Annotation Tool for Web-based Anatomy Atlases

(no abstract