Dynamic ontology supporting local government

Mieczysław L. Owoc , Krzysztof Hauke , Katarzyna Marciniak

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 selfgovernment. Ontology including mentioned knowledge management supporting is prepared using sophisticated Ontorion Fluent Editor
Author Mieczysław L. Owoc (MISaF / IBI / DBIiM)
Mieczysław L. Owoc,,
- Department of Business Intelligence in Management
, Krzysztof Hauke (MISaF / IBI / DBIiM)
Krzysztof Hauke,,
- Department of Business Intelligence in Management
, Katarzyna Marciniak (MISaF / IBI / KSIB)
Katarzyna Marciniak,,
- Katedra Systemów Inteligencji Biznesowej
Pages36-49
Publication size in sheets0.65
Book Mercier-Laurent Eunika, Boulanger Danielle (eds.): Artificial intelligence for knowledge management : 4th IFIP WG 12.6 International Workshop, AI4KM 2016 Held at IJCAI 2016 New York, NY, USA, July 9, 2016. Revised selected papers, IFIP Advances in Information and Communication Technology, vol. 518, 2018, Springer International Publishing, ISBN 9783319929279, 147 p., DOI:10.1007/978-3-319-92928-6
DOIDOI:10.1007/978-3-319-92928-6_3
URL https://link.springer.com/chapter/10.1007/978-3-319-92928-6_3
Languageen angielski
File
Owoc_Hauke_Marciniak_Dynamic_ontology_supporting_local.pdf 2 MB
Score (nominal)20
Score sourcepublisherList
Publication indicators Scopus Citations = 0
Citation count*
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back