Abstract
A hierarchy is an arrangement of qualitative values in a tree with certain properties. Hierarchies allow to define the confusion conf(r, s) in using qualitative value r instead of the intended or correct value s. From here, “predicate P holds for object o”, written P(o), is generalized to “P holds for o within confusion ε”, written P ε (o). These precision-controlled predicates are useful to retrieve approximate answers, where the error (confusion) is known.
The predicates are implemented through an extended SQL that uses confusion to retrieve information from a database. We show how to extend any database for precision-controlled retrieval. Limiting the total error is also useful, and this is achieved by predicate Pe. Examples are given.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Guzman-Arenas, A., Levachkine, S.: Hierarchies Measuring Qualitative Variables. In: Gelbukh, A. (ed.) CICLing 2004. LNCS, vol. 2945, pp. 262–274. Springer, Heidelberg (2004)
Guzman-Arenas, A., Levachkine, S.: Graduated errors in approximate queries using hierarchies and ordered sets. In: Monroy, R., Arroyo-Figueroa, G., Sucar, L.E., Sossa, H. (eds.) MICAI 2004. LNCS (LNAI), vol. 2972, pp. 139–148. Springer, Heidelberg (2004) ISSN 0302-9743
Levachkine, S., Guzman-Arenas, A.: Confusion between hierarchies partitioned by a percentage rule (unpublished manuscript)
Levachkine, S., Guzman-Arenas, A.: Hierarchy as a new data type for qualitative variables (submitted to Data and Knowledge Engineering)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
de Gyves, V.P., Guzman-Arenas, A., Levachkine, S. (2005). Extending Databases to Precision-Controlled Retrieval of Qualitative Information. In: Ramos, F.F., Larios Rosillo, V., Unger, H. (eds) Advanced Distributed Systems. ISSADS 2005. Lecture Notes in Computer Science, vol 3563. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11533962_3
Download citation
DOI: https://doi.org/10.1007/11533962_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28063-7
Online ISBN: 978-3-540-31674-9
eBook Packages: Computer ScienceComputer Science (R0)