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--- activities:theme3:research_areas [2010/11/13 11:24]
flalys
+++ activities:theme3:research_areas [2012/02/06 02:58] (current)
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+<html>
+<div class="theme"> Conceptual modelling and creation of formal ontologies (CMCFO) for Surgical Knowledge and Processes</div>
+<div class="pageTitle">
+    Research areas
+</div>
+</html>
-=== Sharing of data and sharing of processing tools in neuroimaging (Neurobase and Neurolog
+====== Sharing of data and sharing of processing tools in neuroimaging ======
-projects) ===
-\\
-**Major contributions**
-The NeuroLOG Project (2007-2010) was supported by ANR (under the “Software Technology” program). The overall goal was to set up a computer infrastructure to facilitate the sharing of neuroimaging data, as well as image processing tools, in a distributed and heterogeneous environment. The consortium gathered expertise coming from several complementary domains of expertise: image processing in neuroimaging, workflows and GRID computing, ontology development and ontology-based mediation. A key aspect of the project led by VisAGeS was the design of an application ontology (called OntoNeuroLOG), which provides a common language to share the semantics of the shared resources (i.e. neuroimaging data, on the one hand, and image processing tools, modeled as services, on the other hand). This was achieved according to a methodology called OntoSpec, designed by the Gilles Kassel’s group in Amiens. OntoNeuroLOG is a major result of the project: it is a multi-layer application ontology, made of several core and domain ontologies, articulated around a foundational ontology called DOLCE, which provides the basic entities and basic design principles. VisAGeS was also leader of a workpackage dealing with the distributed data storage. This was implemented using two components of the NeuroLOG server: a “metadata  manager” providing database query services, and a “data manager” ensuring the distributed management of image files. The metadata manager relies on mediation services provided by “Data Federator” (Business Objects, now SAP). Besides, semantic services, i.e. services that process a semantic representation of metadata (instances of the ontology’s classes, represented in RDF) were developed to support enhanced metadata querying as well as reasoning about image processing. An application testbed is currently in operation; it includes several image databases located in four sites (Paris Pitié-Salpétrière-IRCM, Rennes VisAGeS, Grenoble GIN, and INRIA Asclepios at Sophia-Antipolis).
+===== Major contributions =====
+The NeuroLOG Project (2007-2010) was supported by ANR (under the “Software Technology” program). The overall goal was to set up a computer infrastructure to facilitate the sharing of neuroimaging data, as well as image processing tools, in a distributed and heterogeneous environment. The consortium gathered expertise coming from several complementary domains of expertise: image processing in neuroimaging, workflows and GRID computing, ontology development and ontology-based mediation. A key aspect of the project led by VisAGeS was the design of an application ontology (called OntoNeuroLOG), which provides a common language to share the semantics of the shared resources (i.e. neuroimaging data, on the one hand, and image processing tools, modeled as services, on the other hand). This was achieved according to a methodology called OntoSpec, designed by the Gilles Kassel’s group in Amiens. OntoNeuroLOG is a major result of the project: it is a multi-layer application ontology, made of several core and domain ontologies, articulated around a foundational ontology called DOLCE, which provides the basic entities and basic design principles. MediCIS was also leader of a workpackage dealing with the distributed data storage. This was implemented using two components of the NeuroLOG server: a “metadata  manager” providing database query services, and a “data manager” ensuring the distributed management of image files. The metadata manager relies on mediation services provided by “Data Federator” (Business Objects, now SAP). Besides, semantic services, i.e. services that process a semantic representation of metadata (instances of the ontology’s classes, represented in RDF) were developed to support enhanced metadata querying as well as reasoning about image processing. An application testbed is currently in operation; it includes several image databases located in four sites (Paris Pitié-Salpétrière-IRCM, Rennes VisAGeS, Grenoble GIN, and INRIA Asclepios at Sophia-Antipolis).
-**Current related projects**
-  * [[http://neurolog.polytech.unice.fr/doku.php | Neurolog project]]
+===== Current related projects =====
-  * [[http://www.irisa.fr/visages/demo/Neurobase/ |Neurobase ]]
-  * [[http://shanoir.org/ | Shanoir project ]]
+  * [[http://www.irisa.fr/visages/demo/Neurobase/ |Neurobase (2002-2006) ]]
-  * [[http://www.creatis.insa-lyon.fr/vip/node/2 | Virtual Imaging Platform (VIP) ]]
+  * [[http://neurolog.polytech.unice.fr/doku.php | Neurolog project (2007-2010)]]
+  * [[http://shanoir.org/ | Shanoir project (2007-...) ]]
+  * [[http://www.creatis.insa-lyon.fr/vip/node/2 | Virtual Imaging Platform (VIP) (2009-...) ]]
-=== Semantic annotation of brain anatomical structures in MRI images ===
-\\
-**Major contributions**
+====== Semantic annotation of brain anatomical structures in MRI images ======
+===== Major contributions =====
 This project aimed at exploring the feasibility of relying on symbolic knowledge provided by ontology
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-**Current related projects**
+===== Current related projects =====
  * [[activities:theme3:projects:semantic-annotation:index | Semantic annotation in NeuroImaging ]]