Knowledge editing and maintenance tools for a semantic portal in oncology

• Published in: International journal of human-computer studies Vol. 62; no. 5; pp. 619 - 638
• Main Authors: d’Aquin, Mathieu, Bouthier, Christophe, Brachais, Sébastien, Lieber, Jean, Napoli, Amedeo
• Format: Journal Article Conference Proceeding
• Language: English
• Published: London Elsevier Ltd 01.05.2005; Elsevier
• Subjects: Applied sciences; Artificial Intelligence; Computer applications; Computer Science; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Connectionism. Neural networks; Editing; Exact sciences and technology; Health care; Human-computer interaction; Knowledge management; Maintenance; Medicine; Oncology; Other; Portals; Reasoning; Representation; Semantic portal; Semantic Web; Software; User interface; Visualization; World Wide Web; Semantic Web; Visualization; Semantic portal; Reasoning; Editing; Knowledge management; Representation; Maintenance; Knowledge engineering; Semantic web; Knowledge based systems; Knowledge representation; Web portal; Maintenance and Representation; Semantic Portal
• ISSN: 1071-5819; 1095-9300
• DOI: 10.1016/j.ijhcs.2005.02.003

The research work presented in this paper is about the design of a knowledge system architecture applied to oncology and relying on the semantic Web principles. The core of this architecture is a working knowledge system, called K asimir, using an object-based representation formalism and classification-based reasoning. The ontology editor P rotégé is connected with the K asimir system, and is adapted to the particular requirements of K asimir. The P rotégé system enables the integration of several editing and visualization modules. A first knowledge editing module relies on classification-based reasoning for detecting mismatches and redundancies in the edited knowledge hierarchy. A second knowledge editing module also uses classification-based reasoning for comparing two versions of the knowledge base for maintenance purposes. This last module is particularly useful for extracting and analysing the changes occurred during an editing session. Three modules are combined to visualize hierarchies, based on three different techniques having complementary advantages. All these modules—including K asimir and P rotégé—are integrated in a semantic portal architecture based on semantic Web principles. The proposed architecture takes advantage of the semantic Web technologies for integrating the different modules, and for providing a reusable environment for distributed knowledge management in oncology.