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An Integrated Query Relaxation Approach Adopting Data Abstraction and Fuzzy Relation

An Integrated Query Relaxation Approach Adopting Data Abstraction and Fuzzy Relation

Soon-Young Huh, Kae-Hyun Moon, Jinsoo Park
Copyright: © 2012 |Pages: 26
ISBN13: 9781613504710|ISBN10: 1613504713|EISBN13: 9781613504727
DOI: 10.4018/978-1-61350-471-0.ch015
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MLA

Huh, Soon-Young, et al. "An Integrated Query Relaxation Approach Adopting Data Abstraction and Fuzzy Relation." Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches, edited by Keng Siau, IGI Global, 2012, pp. 359-384. https://doi.org/10.4018/978-1-61350-471-0.ch015

APA

Huh, S., Moon, K., & Park, J. (2012). An Integrated Query Relaxation Approach Adopting Data Abstraction and Fuzzy Relation. In K. Siau (Ed.), Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches (pp. 359-384). IGI Global. https://doi.org/10.4018/978-1-61350-471-0.ch015

Chicago

Huh, Soon-Young, Kae-Hyun Moon, and Jinsoo Park. "An Integrated Query Relaxation Approach Adopting Data Abstraction and Fuzzy Relation." In Cross-Disciplinary Models and Applications of Database Management: Advancing Approaches, edited by Keng Siau, 359-384. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-61350-471-0.ch015

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Abstract

This paper proposes a cooperative query answering approach that relaxes query conditions to provide approximate answers by utilizing similarity relationships between data values. The proposed fuzzy abstraction hierarchy (FAH) represents a similarity relationship based on the integrated notion of data abstraction and fuzzy relations. Based on FAH, the authors develop query relaxation operators like query generalization, approximation, and specialization of a value. Compared with existing approaches, FAH supports more effective information retrieval by processing various kinds of cooperative queries through elaborate relaxation control and providing ranked query results according to fitness scores. Moreover, FAH reduces maintenance cost by decreasing the number of similarity relationships to be managed.

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