Evaluating Possibilistic Valid-Time Queries

Billiet, Christophe; Pons, José Enrique; Capote, Olga Pons; Tré, Guy De

doi:10.1007/978-3-642-31709-5_42

Cited by 5 publications

(18 citation statements)

References 16 publications

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“…Based on their purpose and interpretation, such time indications can be classified into different categories [1], [3]. The work presented in this paper only considers temporal values of the category valid time.…”

Section: General Preliminaries Notations and Nomenclaturementioning

confidence: 99%

“…The concept of IKVTI is based on the concepts of possibilistic variables (PV) and ill-known intervals (IKI) [3], [17], [20]. Definition 1.…”

Section: Uncertainty In Valid-time Intervalsmentioning

confidence: 99%

“…These temporal values are usually either time intervals [1] or instants [1], which may informally be seen as infinitesimally short 'periods' or 'points' in time. Based on their interpretation and purpose, temporal values can be classified into several categories, but the presented work will only consider valid-time indications, which indicate when corresponding data is a valid or true representation of the reality modelled by its database [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…A lot of database data are produced by humans, but human-made data are prone to imperfections, as some of these data may be vague or imprecise [5], contradictory, incomplete or uncertain [3], [4], [6]. Of course, data representing temporal values may contain such imperfections too [2][3][4], [7].…”

Section: Introductionmentioning

confidence: 99%

“…Of course, data representing temporal values may contain such imperfections too [2][3][4], [7]. The work presented in this paper will consider databases containing data representing validtime intervals subject to uncertainty and will assume all non-temporal data in these databases to contain no imperfections.…”

Section: Introductionmentioning

confidence: 99%

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Bipolar Querying of Valid-Time Intervals Subject to Uncertainty

Billiet

Pons

et al. 2013

Flexible Query Answering Systems

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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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Section: General Preliminaries Notations and Nomenclaturementioning

confidence: 99%

“…The concept of IKVTI is based on the concepts of possibilistic variables (PV) and ill-known intervals (IKI) [3], [17], [20]. Definition 1.…”

Section: Uncertainty In Valid-time Intervalsmentioning

confidence: 99%