An Integrated Query Relaxation Approach Adopting Data Abstraction and Fuzzy Relation

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.

A Meta-Analysis Comparing Relational and Semantic Models

“…Studies on object oriented approaches (e.g., Siau & Cao, DOI: 10.4018/jdm.2011100103 2001; Siau & Loo, 2006;Taha & Elmasri, 2009;Gemino & Parker, 2009;VanderMeer & Dutta, 2009;Evermann & Wand, 2009;Siau & Tian, 2009;Shank et al, 2010;Siau, 2010;Tan et al, 2011) started to appear in academic publications in the 2000s. Despite the emergence of object oriented modeling techniques, relational and ER/EER models and their query languages continue to be important and widely studied (e.g., Sengupta & Ramesh, 2009;Niu et al, 2009;Sakr, 2009;Ayanso et al, 2009;Huh et al, 2010;An et al, 2010;Bera et al, 2010;Shlezinger et al, 2010). Further, relational database management systems are widely used and relational data model is still the dominant model in industry.…”