Print Email Facebook Twitter Human-agent service matching using natural language queries: System test and training Title Human-agent service matching using natural language queries: System test and training Author Pasman, W. Lindenberg, J. TNO Defensie en Veiligheid Publication year 2006 Abstract Smart environments, ambient intelligence and intelligent agents leave the user lost between large amounts of services. Ad-hoc networks, mobile agents and mobile devices make the set of available services dynamic over time and space, increasing the users problems to find the service he needs. Earlier, we presented a ServiceMatcher that can find the agent best fitting to the users natural language request. This paper presents performance results of the ServiceMatcher. The test queries come from human users in a realistic scenario (see our other paper in this issue). With a short training of the agent vocabularies, over 80% correct service matches are found. Subject User interfacesAgentsAmbient intelligenceNatural language interfacesService awarenessService matchingSystem validationNatural language processing systemsPersonal computersQuery languagesUser interfacesAmbient intelligenceNatural language interfacesService matchingHuman computer interaction To reference this document use: http://resolver.tudelft.nl/uuid:01c7966a-0bc8-4ab6-bbdb-98588caf97a2 DOI https://doi.org/10.1007/s00779-006-0067-6 TNO identifier 16412 Source Personal and Ubiquitous Computing., 10 (6), 393-399 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.