Cited By
View all- Aggoune A(2022)Intelligent data integration from heterogeneous relational databases containing incomplete and uncertain informationIntelligent Data Analysis10.3233/IDA-20553526:1(75-99)Online publication date: 14-Jan-2022
Towards a Flexible Mediator Architecture Using Fuzzy Logic for Integration of Incomplete and Uncertain Information
Pages 7 - 13
Abstract
The major problems of data integration systems are closely related to the heterogeneity of the data sources, the query processing complexity, and the global schema evolution. These problems are increased when data sources contain both uncertain and incomplete information. The existing works aim to use fuzzy ontology as well as a global schema of mediator system for providing a homogeneous view of semantically heterogeneous data sources and expressing imprecise information. In this paper, we present new flexible mediator architecture based only on fuzzy logic for, representing incomplete and uncertain information, and fuzzy querying of heterogeneous databases using fuzzy predicates. This architecture is split into three layers: Flexible mediation, Flexible wrappers, and sources. At the wrapper layer, we propose a method for fuzzy querying of both incomplete and uncertain information. The flexible mediator architecture, including an example of data integration in food safety field.
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Index Terms
- Towards a Flexible Mediator Architecture Using Fuzzy Logic for Integration of Incomplete and Uncertain Information
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Published In
March 2018
135 pages
ISBN:9781450352901
DOI:10.1145/3177148
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- IAPR: International Association for Pattern Recognition
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Published: 27 March 2018
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MedPRAI '18
MedPRAI '18: Mediterranean Conference on Pattern Recognition and Artificial Intelligence
March 27 - 28, 2018
Rabat, Morocco
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View all- Aggoune A(2022)Intelligent data integration from heterogeneous relational databases containing incomplete and uncertain informationIntelligent Data Analysis10.3233/IDA-20553526:1(75-99)Online publication date: 14-Jan-2022
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