Bipolar Querying of Valid-Time Intervals Subject to Uncertainty

  • Christophe Billiet
  • José Enrique Pons
  • Olga Pons
  • Guy De Tré
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8132)


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.


Bipolar Querying Valid-time Relation Valid Time Temporal Databases Uncertainty Possibility Theory Ill-known Intervals 


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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Christophe Billiet
    • 1
  • José Enrique Pons
    • 2
  • Olga Pons
    • 2
  • Guy De Tré
    • 1
  1. 1.Department of Telecommunications and Information ProcessingGhent UniversityGhentBelgium
  2. 2.Department of Computer Science and Artificial IntelligenceUniversity of GranadaGranadaSpain

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