Fuzzy semantic query mapping and processing

Salem Chakhar; Zouhaier Brahmia

doi:10.1007/978-3-031-26254-8_66

Fuzzy semantic query mapping and processing

Salem Chakhar, Zouhaier Brahmia

School of Organisations, Systems and People

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

32 Downloads (Pure)

Abstract

Semantic data models are powerful conceptual modelling tools but they lack effective implementation mechanisms. Thus, fuzzy semantic data models are often mapped and implemented through relational or object-oriented database models. In a previous work, we have proposed a collection of mapping rules to map and implement the Fuzzy Semantic Model (FSM) as a Fuzzy Object- Relational database Model (FuzzORM). However, in such a work, only FSM schema mapping has been addressed. In this paper, we propose a middleware approach to map any FSM query into an equivalent query written in the object-relational query language SQL3.

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	462-468
Number of pages	7
ISBN (Electronic)	9783031262548
ISBN (Print)	9783031262531
DOIs	https://doi.org/10.1007/978-3-031-26254-8_66 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

Fuzzy database
Fuzzy semantic model
Fuzzy Object-Relational Database Model
query mapping
query processing

Access to Document

ICAISE22_paper_8191
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_66
Accepted author manuscript (Post-print), 241 KB

Cite this

Chakhar, S., & Brahmia, Z. (2023). Fuzzy semantic query mapping and processing. 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. 462-468). (Lecture Notes on Networks and Systems; Vol. 635). Springer. https://doi.org/10.1007/978-3-031-26254-8_66, https://doi.org/10.1007/978-3-031-26254-8

Chakhar, Salem ; Brahmia, Zouhaier. / Fuzzy semantic query mapping and processing. 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. 462-468 (Lecture Notes on Networks and Systems).

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abstract = "Semantic data models are powerful conceptual modelling tools but they lack effective implementation mechanisms. Thus, fuzzy semantic data models are often mapped and implemented through relational or object-oriented database models. In a previous work, we have proposed a collection of mapping rules to map and implement the Fuzzy Semantic Model (FSM) as a Fuzzy Object- Relational database Model (FuzzORM). However, in such a work, only FSM schema mapping has been addressed. In this paper, we propose a middleware approach to map any FSM query into an equivalent query written in the object-relational query language SQL3.",

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Chakhar, S & Brahmia, Z 2023, Fuzzy semantic query mapping and processing. 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. 462-468, 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_66, https://doi.org/10.1007/978-3-031-26254-8

Fuzzy semantic query mapping and processing. / 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. 462-468 (Lecture Notes on Networks and Systems; Vol. 635).

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

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AU - Brahmia, Zouhaier

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AB - Semantic data models are powerful conceptual modelling tools but they lack effective implementation mechanisms. Thus, fuzzy semantic data models are often mapped and implemented through relational or object-oriented database models. In a previous work, we have proposed a collection of mapping rules to map and implement the Fuzzy Semantic Model (FSM) as a Fuzzy Object- Relational database Model (FuzzORM). However, in such a work, only FSM schema mapping has been addressed. In this paper, we propose a middleware approach to map any FSM query into an equivalent query written in the object-relational query language SQL3.

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KW - query processing

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DO - 10.1007/978-3-031-26254-8_66

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Chakhar S, Brahmia Z. Fuzzy semantic query mapping and processing. 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. 462-468. (Lecture Notes on Networks and Systems). doi: 10.1007/978-3-031-26254-8_66, 10.1007/978-3-031-26254-8

Fuzzy semantic query mapping and processing

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Keywords

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Cite this