Dynamic Ontology Supporting Local Government - Artificial Intelligence for Knowledge Management
Conference Papers Year : 2018

Dynamic Ontology Supporting Local Government

Mieczysław Owoc
  • Function : Author
  • PersonId : 989299
Krzysztof Hauke
  • Function : Author
  • PersonId : 989303
Katarzyna Marciniak
  • Function : Author
  • PersonId : 1040280

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.
Fichier principal
Vignette du fichier
469211_1_En_3_Chapter.pdf (632.13 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01950008 , version 1 (10-12-2018)

Licence

Identifiers

Cite

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⟩
66 View
85 Download

Altmetric

Share

More