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Dynamic Ontology Supporting Local Government

Abstract : Nowadays in information society we face a huge amount of data and information sharing on the Web by customers of public administrator sectors. Services performed for customers from the nature are very flexible – so preparation ontology for such goals must include dynamic aspects. The goal of this paper is creation dynamic ontology for relationships type of C2C (Citizen to City). It is especially important in knowledge management at the local level of administration in case of monitoring uncompleted matters, evaluation of effectiveness of clerks representing selected departments or in decisions of administration restructuring. In this paper we propose a dynamic-oriented knowledge model, designed to distribute and manage urban knowledge as a representative of local self-government. Ontology including mentioned knowledge management supporting is prepared using sophisticated Ontorion Fluent Editor.
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Mieczysław Owoc, Krzysztof Hauke, Katarzyna Marciniak. Dynamic Ontology Supporting Local Government. 4th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2016, New York, NY, United States. pp.36-49, ⟨10.1007/978-3-319-92928-6_3⟩. ⟨hal-01950008⟩

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