title: Ontology-based knowledge repository support for healthgrids.
abstract: Healthgrids unite a large amount of independent and distributed organisations to provide for various healthcare services. Often the involved organisations can belong to different areas of healthcare and even different countries. However to achieve efficient operation they have to act in a well coordinated manner. As a result, an efficient knowledge sharing between multiple participating parties of the healthgrid is required. The paper describes application of an earlier developed ontology-driven KSNet (Knowledge Source Network) - approach to knowledge repository support for healthgrids. This approach is based on representation of knowledge via ontologies using formalism of object-oriented constraint networks. Such representation makes it possible to define and solve various tasks from the areas of management, planning, configuration, etc., by using constraint solving engines such as, for instance, ILOG or CLP. The major discussed aspects cover the formalism of knowledge representation via ontologies and implementation of the approach as a decision support system for a case study from the area of health service logistics.
authors.affiliation: St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia.
authors.forename: Alexander
authors.initials: A
authors.lastname: Smirnov
authors.forename: Mikhail
authors.initials: M
authors.lastname: Pashkin
authors.forename: Nikolai
authors.initials: N
authors.lastname: Chilov
authors.forename: Tatiana
authors.initials: T
authors.lastname: Levashova
mesh_terms: D001185:Artificial Intelligence; D003660:Decision Support Systems, Management; D006265:Health Care Coalitions; D006298:Health Services Administration; D006801:Humans; D020407:Internet; D018875:Vocabulary, Controlled