By Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales

ISBN-10: 376432662X

ISBN-13: 9783764326623

ISBN-10: 3764385464

ISBN-13: 9783764385460

ISBN-10: 3764385472

ISBN-13: 9783764385477

Multi-agent platforms are the most fascinating learn components in man made Intelligence. This booklet experiences at the effects completed during this zone, discusses the advantages (and drawbacks) that agent-based platforms may well deliver to clinical domain names and society, and in addition offers an inventory of the examine themes that are supposed to be tackled within the close to destiny to make the deployment of health-care agent-based platforms a truth. present issues of analysis comprise verbal exchange and co-operation among dispensed clever brokers to control sufferer care.

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The causes of a data item being as it is. The provenance of an item is extracted from the documentation of processes occurring within the application. In this 48 ´ J. V´azquez-Salceda, S. Alvarez, T. Kifor et al. section, we describe the nature of the provenance architecture, and the structure and use of the process documentation. 1. Provenance Architecture The provenance architecture is comprised of component interfaces, data models, protocols and agent behaviour specifications. Following this approach, each agent independently records documentation regarding the processes it is involved in.

The SAPHIRE Ontology Agent handles such mapping requests through the OWLmt tool. The OWLmt tool provides a graphical interface to define the mapping patterns between OWL ontologies in different structures but with an overlapping content. This mapping definition is used to automatically translate ontology instances to one another. In SAPHIRE, the schemas of Web service messages, and the schema of the Reference Information Model used by the clinical guideline execution environment are lifted to metamodel level and represented as OWL ontologies.

Provenance enables users to trace how a particular result has been arrived at by identifying the individual and aggregated services that produced a particular output. In this chapter we present the main results of the EU PROVENANCE project and how these can be valuable in agent-mediated healthcare applications. For the latter we describe the Organ Transplant Management Application (OTMA), one of the demonstrator applications developed. Keywords. Provenance, software agents, healthcare. 1. Introduction The importance of understanding the process by which a result was generated is fundamental to many real-life applications in science, engineering, medical domain, supply management, etc.

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Agent Technology and e-Health by Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales


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