2003
DOI: 10.1007/3-540-44836-5_13
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Knowledge Management Applied to E-government Services: The Use of an Ontology

Abstract: Abstract. This paper is about the development and use of an ontology of egovernment services. We identify the knowledge required to deliver egovernment transaction services. Based on the SmartGov project, we describe the use of a domain map to assist in knowledge management and motivate the use of an ontology as a domain map. We describe the development of the egovernment service ontology and give a few examples of its definitions. We explain why the SmartGov project has adopted taxonomies, derived from the on… Show more

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Cited by 42 publications
(17 citation statements)
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“…Two examples are the SmartGov and OntoGov projects. SmartGov develops a knowledge management platform focusing on the transaction and integration stage (Fraser 2003). OntoGov combines different ontologies to address the description and configuration of services (Tambouris et al 2004).…”
Section: Previous Workmentioning
confidence: 99%
“…Two examples are the SmartGov and OntoGov projects. SmartGov develops a knowledge management platform focusing on the transaction and integration stage (Fraser 2003). OntoGov combines different ontologies to address the description and configuration of services (Tambouris et al 2004).…”
Section: Previous Workmentioning
confidence: 99%
“…Also, an interesting horizontal government ontology has been developed as part of the SMARTGOV project (IST Programme of the European Commission) for the domain of e-government transaction services Fraser et al 2003). This ontology includes the basic concepts of this domain (activities, actors, issues, legislation, needs, processes, requirements, responsibilities, results, rights and service types), which are common across all the thematic areas of government activity.…”
Section: Government Ontologiesmentioning
confidence: 99%
“…Differing from other ontology organization approaches [8], we use (figure 7): (1) agents as basic knowledge elements to describe the specific semantic and pragmatics relationships among a set of agents;…”
Section: Intelligent Agent Knowledge Representationmentioning
confidence: 99%