Towards an integrated rough set and data modelling framework for data management and knowledge extraction

Salem Chakhar; Zouhaier Brahmia

doi:10.1007/978-3-031-26254-8_116

Towards an integrated rough set and data modelling framework for data management and knowledge extraction

Salem Chakhar, Zouhaier Brahmia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

31 Downloads (Pure)

Abstract

Data models and database systems are excellent tools to store and manage data. However, most of available data models and database systems lack effective techniques to extract relevant knowledge form raw data. Combining data modelling approaches and machine learning techniques represent a promising road to design and develop integrated data management and knowledge extraction systems. In this paper, first we propose a Rough Semantic data Model (RSM) based on a coupling between semantic data modelling and rough sets concepts. Then, we introduce the design of a framework that supports RSM and provides data management and knowledge extraction functionalities.

Original language	English
Title of host publication	Artificial Intelligence and Smart Environment ICAISE’2022
Subtitle of host publication	Proceedings of the 4th International Conference on Artificial Intelligence and Smart Environment
Editors	Yousef Farhaoui, Alvaro Rocha, Zouhaier Brahmia, Bharat Bhushab
Publisher	Springer
Pages	800-805
Number of pages	6
ISBN (Electronic)	9783031262548
ISBN (Print)	9783031262531
DOIs	https://doi.org/10.1007/978-3-031-26254-8_116 https://doi.org/10.1007/978-3-031-26254-8
Publication status	Published - 8 Mar 2023
Event	The 4th International Conference on Artificial Intelligence and Smart Environments - Errachidia, Morocco Duration: 24 Nov 2022 → 26 Nov 2022 https://bdsde.sciencesconf.org/

Publication series

Name	Lecture Notes on Networks and Systems
Publisher	Springer
Volume	635
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	The 4th International Conference on Artificial Intelligence and Smart Environments
Abbreviated title	ICAISE 2022:
Country/Territory	Morocco
City	Errachidia
Period	24/11/22 → 26/11/22
Internet address	https://bdsde.sciencesconf.org/

Keywords

database
rough set theory
data model
knowledge extraction

Access to Document

ICAISE22_paper_6636
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-26254-8_116.
Accepted author manuscript (Post-print), 68.3 KB

Cite this

Chakhar, S., & Brahmia, Z. (2023). Towards an integrated rough set and data modelling framework for data management and knowledge extraction. In Y. Farhaoui, A. Rocha, Z. Brahmia, & B. Bhushab (Eds.), Artificial Intelligence and Smart Environment ICAISE’2022: Proceedings of the 4th International Conference on Artificial Intelligence and Smart Environment (pp. 800-805). (Lecture Notes on Networks and Systems; Vol. 635). Springer. https://doi.org/10.1007/978-3-031-26254-8_116, https://doi.org/10.1007/978-3-031-26254-8

Chakhar, Salem ; Brahmia, Zouhaier. / Towards an integrated rough set and data modelling framework for data management and knowledge extraction. Artificial Intelligence and Smart Environment ICAISE’2022: Proceedings of the 4th International Conference on Artificial Intelligence and Smart Environment. editor / Yousef Farhaoui ; Alvaro Rocha ; Zouhaier Brahmia ; Bharat Bhushab. Springer, 2023. pp. 800-805 (Lecture Notes on Networks and Systems).

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Chakhar, S & Brahmia, Z 2023, Towards an integrated rough set and data modelling framework for data management and knowledge extraction. in Y Farhaoui, A Rocha, Z Brahmia & B Bhushab (eds), Artificial Intelligence and Smart Environment ICAISE’2022: Proceedings of the 4th International Conference on Artificial Intelligence and Smart Environment. Lecture Notes on Networks and Systems, vol. 635, Springer, pp. 800-805, The 4th International Conference on Artificial Intelligence and Smart Environments, Errachidia, Morocco, 24/11/22. https://doi.org/10.1007/978-3-031-26254-8_116, https://doi.org/10.1007/978-3-031-26254-8

Towards an integrated rough set and data modelling framework for data management and knowledge extraction. / Chakhar, Salem; Brahmia, Zouhaier.
Artificial Intelligence and Smart Environment ICAISE’2022: Proceedings of the 4th International Conference on Artificial Intelligence and Smart Environment. ed. / Yousef Farhaoui; Alvaro Rocha; Zouhaier Brahmia; Bharat Bhushab. Springer, 2023. p. 800-805 (Lecture Notes on Networks and Systems; Vol. 635).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - Data models and database systems are excellent tools to store and manage data. However, most of available data models and database systems lack effective techniques to extract relevant knowledge form raw data. Combining data modelling approaches and machine learning techniques represent a promising road to design and develop integrated data management and knowledge extraction systems. In this paper, first we propose a Rough Semantic data Model (RSM) based on a coupling between semantic data modelling and rough sets concepts. Then, we introduce the design of a framework that supports RSM and provides data management and knowledge extraction functionalities.

AB - Data models and database systems are excellent tools to store and manage data. However, most of available data models and database systems lack effective techniques to extract relevant knowledge form raw data. Combining data modelling approaches and machine learning techniques represent a promising road to design and develop integrated data management and knowledge extraction systems. In this paper, first we propose a Rough Semantic data Model (RSM) based on a coupling between semantic data modelling and rough sets concepts. Then, we introduce the design of a framework that supports RSM and provides data management and knowledge extraction functionalities.

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KW - rough set theory

KW - data model

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M3 - Conference contribution

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Chakhar S, Brahmia Z. Towards an integrated rough set and data modelling framework for data management and knowledge extraction. In Farhaoui Y, Rocha A, Brahmia Z, Bhushab B, editors, Artificial Intelligence and Smart Environment ICAISE’2022: Proceedings of the 4th International Conference on Artificial Intelligence and Smart Environment. Springer. 2023. p. 800-805. (Lecture Notes on Networks and Systems). doi: 10.1007/978-3-031-26254-8_116, 10.1007/978-3-031-26254-8

Towards an integrated rough set and data modelling framework for data management and knowledge extraction

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Keywords

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