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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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
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