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공공누리This item is licensed Korea Open Government License

Title
A Data Mining Approach for a Dynamic Development of an Ontology-Based Statistical Information System
Author(s)
Kermani, Mohamed HachemBoufaida, ZizetteBensabbane, Amel LinaBourezg, Besma
Publisher
Korea Institute of Science and Technology Information
Publication Year
2023-06-30
Abstract
This paper presents a dynamic development of an ontology-based statistical information system supporting the collection, storage, processing, analysis, and the presentation of statistical knowledge at the national scale. To accomplish this, we propose a data mining technique to dynamically collect data relating to citizens from publicly available data sources; the collected data will then be structured, classified, categorized, and integrated into an ontology. Moreover, an intelligent platform is proposed in order to generate quantitative and qualitative statistical information based on the knowledge stored in the ontology. The main aims of our proposed system are to digitize administrative tasks and to provide reliable statistical information to governmental, economic, and social actors. The authorities will use the ontology-based statistical information system for strategic decision-making as it easily collects, produces, analyzes, and provides both quantitative and qualitative knowledge that will help to improve the administration and management of national political, social, and economic life.
Keyword
statistical information; data mining; ontology-based information system; statistical information system; strategic decision-making
Journal Title
Journal of Information Science Theory and Practice;Volume 11 Issue 2
ISSN
2287-4577
DOI
https://doi.org/10.1633/JISTaP.2023.11.2.5
Files in This Item:
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Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 11 - No. 2
Type
Serial
URI
https://repository.kisti.re.kr/handle/10580/18984
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