Abstract
Full exploration of databases requires advanced querying facilities. This is especially the case if user preferences related to expected results are complex. Traditional query languages like SQL and OQL only have limited facilities for expressing query criteria that are composed of simple criteria. So, while searching for information, users often have to translate their complex requirements (which are typical for human reasoning) into simpler queries, which in many cases can only partly reflect what the user is actually looking for. As a potential solution, we recently proposed a query language extension that is based on soft computing techniques and supports the use of so-called criterion trees. In this paper, we further extend criterion trees so that they can contain both mandatory and optional query conditions. More specifically, we study optional query conditions from a bipolar point of view and propose and illustrate a framework for handling them in query processing.
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References
Bosc, P., Pivert, O.: On Four Noncommutative Fuzzy Connectives and their Axiomatization. Fuzzy Sets and Systems 202, 42–60 (2012)
Cattell, R.G.G., Barry, D.K.: The Object Data Standard: ODMG 3.0. Morgan Kaufmann, San Francisco (2000)
De Tré, G., Dujmović, J.J., Bronselaer, A., Matthé, T.: On the Applicability of Multi-criteria Decision Making Techniques in Fuzzy Querying. Communications in Computer and Information Sciences 297, 130–139 (2012)
De Tré, G., Dujmović, J., Nielandt, J., Bronselaer, A.: Enhancing flexible querying using criterion trees. In: Larsen, H.L., Martin-Bautista, M.J., Vila, M.A., Andreasen, T., Christiansen, H. (eds.) FQAS 2013. LNCS (LNAI), vol. 8132, pp. 364–375. Springer, Heidelberg (2013)
Dubois, D., Prade, H.: Handling bipolar queries in fuzzy information processing. In: Galindo, J. (ed.) Handbook of Research on Fuzzy Information Processing in Databases, pp. 97–114. IGI Global, Hershey (2008)
Dujmović, J.J.: Partial Absorption Function. Journal of the University of Belgrade, EE Dept. Series Mathematics and Physics 659, 156–163 (1979)
Dujmović, J.J.: Preference Logic for System Evaluation. IEEE Transactions on Fuzzy Systems, vol 15(6), 1082–1099 (2007)
Dujmović, J.J.: Characteristic Forms of Generalized Conjunction/Disjunction. In: IEEE World Congress on Computational Intelligence, Hong Kong (2008)
ISO/IEC 9075-1:2011: Information technology – Database languages – SQL – Part 1: Framework, SQL/Framework (2011)
Lacroix, M., Lavency, P.: Preferences: Putting more knowledge into queries. In: VLDB 1987 Conference, Brighton, UK, pp. 217–225 (1987)
Wirth, N.: What Can We Do About the Unnecessary Diversity of Notation for Syntactic Definitions. Communications of the ACM 20(11), 822–823 (1977)
Zadrozny, S., De Tré, G., De Caluwe, R., Kacprzyk, J.: An Overview of Fuzzy Approaches to Flexible Database Querying. In: Galindo, J. (ed.) Handbook of Research on Fuzzy Information Processing in Databases, pp. 34–54. IGI Global, USA (2008)
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De Tré, G., Dujmović, J., Nielandt, J., Bronselaer, A. (2014). Flexible Querying Using Criterion Trees: A Bipolar Approach. In: Jamshidi, M., Kreinovich, V., Kacprzyk, J. (eds) Advance Trends in Soft Computing. Studies in Fuzziness and Soft Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-03674-8_5
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DOI: https://doi.org/10.1007/978-3-319-03674-8_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03673-1
Online ISBN: 978-3-319-03674-8
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