Abstract
Databases model parts of reality by containing data representing properties of real-world objects or concepts. Often, some of these properties are time-related. Thus, databases often contain data representing time-related information. However, as they may be produced by humans, such data or information may contain imperfections like uncertainties. An important purpose of databases is to allow their data to be queried, to allow access to the information these data represent. Users may do this using queries, in which they describe their preferences concerning the data they are (not) interested in. Because users may have both positive and negative such preferences, they may want to query databases in a bipolar way. Such preferences may also have a temporal nature, but, traditionally, temporal query conditions are handled specifically. In this paper, a novel technique is presented to query a valid-time relation containing uncertain valid-time data in a bipolar way, which allows the query to have a single bipolar temporal query condition.
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References
Jensen, C.S., et al.: The consensus glossary of temporal database concepts - february 1998 version. In: Etzion, O., Jajodia, S., Sripada, S. (eds.) Dagstuhl Seminar 1997. LNCS, vol. 1399, p. 367. Springer, Heidelberg (1998)
Pons, J.E., Marín, N., Pons, O., Billiet, C., De Tré, G.: A Relational Model for the Possibilistic Valid-time Approach. International Journal of Computational Intelligence Systems 5(6), 1068–1088 (2012)
Billiet, C., Pons, J.E., Pons Capote, O., De Tré, G.: Evaluating Possibilistic Valid-Time Queries. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.) IPMU 2012, Part I. CCIS, vol. 297, pp. 410–419. Springer, Heidelberg (2012)
Pons, J.E., Billiet, C., Pons Capote, O., De Tré, G.: A possibilistic valid-time model. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.) IPMU 2012, Part I. CCIS, vol. 297, pp. 420–429. Springer, Heidelberg (2012)
Medina, J.M., Pons, O., Amparo Vila, M.: Gefred: A Generalized Model of Fuzzy Relational Databases. Information Sciences 76(1-2), 87–109 (1994)
Bosc, P., Pivert, O.: Modeling and Querying Uncertain Relational Databases: A Survey of Approaches Based on the Possible Worlds Semantics. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18(5), 565–603 (2010)
Dyreson, C.E., Snodgrass, R.T.: Supporting Valid-Time Indeterminacy. ACM Transactions on Database Systems 23(1), 1–57 (1998)
Zadrozny, S., De Tré, G., De Caluwe, R., Kacprzyk, J.: An overview of fuzzy approaches to flexible database querying. In: Handbook of Research on Fuzzy Information Processing in Databases. IGI Global (2008)
Devos, F., Maesfranckx, P., De Tré, G.: Granularity in the Interpretation of Around in Approximative Lexical Time Indications. Journal of Quantitative Linguistics 5(3), 167–173 (1998)
Kacprzyk, J., Zadrozny, S.: Computing with Words in Intelligent Database Querying: Standalone and Internet-based Applications. Information Sciences 134(1-4), 71–109 (2001)
Dubois, D., Prade, H.: Bipolarity in Flexible Querying. In: Andreasen, T., Motro, A., Christiansen, H., Larsen, H.L. (eds.) FQAS 2002. LNCS (LNAI), vol. 2522, pp. 174–182. Springer, Heidelberg (2002)
De Tré, G., Zadrozny, S., Bronselaer, A.: Handling Bipolarity in Elementary Queries to Possibilistic Databases. IEEE Transactions on Fuzzy Systems 18(3), 599–612 (2010)
Matthé, T., De Tré, G., Zadrozny, S., Kacprzyk, J., Bronselaer, A.: Bipolar Database Querying Using Bipolar Satisfaction Degrees. International Journal of Intelligent Systems 26(10), 890–910 (2011)
Galindo, J., Medina, J.M.: FTSQL2: Fuzzy Time in Relational Databases*. In: Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, pp. 47–50 (2001)
Schockaert, S., De Cock, M., Kerre, E.E.: Fuzzifying Allen’s Temporal Interval Relations. IEEE Transactions on Fuzzy Systems 16(2), 517–533 (2008)
Allen, J.F.: Maintaining Knowledge about Temporal Intervals. Communications of the ACM 26(11), 832–843 (1983)
Pons, J.E., Bronselaer, A., De Tré, G., Pons, O.: Possibilistic evaluation of sets. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems (2012); Accepted for publication in the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Billiet, C., Pons, J.E., Matthé, T., De Tré, G., Pons Capote, O.: Bipolar fuzzy querying of temporal databases. In: Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds.) FQAS 2011. LNCS, vol. 7022, pp. 60–71. Springer, Heidelberg (2011)
Dubois, D., Prade, H.: Possibility Theory. Plenum Press (1988)
Dubois, D., Prade, H.: Incomplete Conjunctive Information. Computers & Mathematics with Applications 15(10), 797–810 (1988)
Atanassov, K.T.: Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems 20(1), 87–96 (1986)
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Billiet, C., Pons, J.E., Pons, O., De Tré, G. (2013). Bipolar Querying of Valid-Time Intervals Subject to Uncertainty. In: Larsen, H.L., Martin-Bautista, M.J., Vila, M.A., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science(), vol 8132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40769-7_35
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DOI: https://doi.org/10.1007/978-3-642-40769-7_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40768-0
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