Valid-Time Indeterminacy in Temporal Relational Databases: Semantics and Representations

Anselma, Luca; Terenziani, Paolo; Snodgrass, Richard T.

doi:10.1109/tkde.2012.199

Cited by 22 publications

(24 citation statements)

References 14 publications

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“…As in most TDB models, BCDM algebraic operators behave as standard non-temporal operators on the non-temporal attributes and apply set operators on the temporal component of tuples (see, e.g., [5]). Cartesian product involves the intersection of the temporal components, projection and union involve their union, and difference their difference.…”

Section: Background: Temporal Database Semanticsmentioning

confidence: 99%

“…Anselma, Snodgrass and Terenziani [5] have recently extended BCDM to cope with temporal indeterminacy (i.e., "don't know exactly when" indeterminacy [15]). In their semantic model, disjunctive sets of chronons (called DTEs) are introduced, each one representing one of the alternative possible temporal scenarios.…”

Section: Background: Temporal Database Semanticsmentioning

confidence: 99%

“…Example 3 is modeled in [5] by a DTE representing the disjunction of four different sets of chronons, meaning that John has been hospitalized in ICU at {9,10,11}, or at {9,10,11,12}, or at {10,11}, or at {10,11,12}:…”

Section: Background: Temporal Database Semanticsmentioning

confidence: 99%

“…In [5] algebraic operators are defined as in BCDM. However, unlike BCDM, they operate on each alternative pair of sets of chronons, to take into account pairwise all the possible combinations of scenarios.…”

Section: Background: Temporal Database Semanticsmentioning

confidence: 99%

“…Reducibility is important, to grant, e.g., interoperability with non-temporal databases [3]. Also, the correctness of the algebrae operating on the representational model with respect to the semantics should be proven (consider, e.g., [5]). (5) Last, but not least, the efficiency of many different implementations (often including indexing techniques), which should be experimentally evaluated.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Comprehensive Approach to ‘Now’ in Temporal Relational Databases: Semantics and Representation

Anselma¹,

Piovesan²,

Sattar³

et al. 2016

IEEE Trans. Knowl. Data Eng.

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Abstract-Now-related temporal data play an important role in many applications. Clifford et al.'s approach is a milestone to model the semantics of 'now' in temporal relational databases. Several relational representation models for now-related data have been presented; however, the semantics of such representations has not been explicitly studied. Additionally, the definition of a relational algebra to query now-related data is an open problem. We propose the first integrated approach that provides both a neat semantics for now-related data and a compact 1NF representation (data model and relational algebra) for them. Additionally, our approach also extends current approaches to consider (i) domains where it is not always possible to know when changes in the world are recorded in the database and (ii) now-related data with a bound on their persistency in the future. To do so, we explicitly model the notion of temporal indeterminacy in the future for now-related data. The properties of our approach are also analyzed both from a theoretical (semantic correctness and reducibility of the algebra) and from the experimental point of view. Experiments show that, despite our approach is a major extension to current temporal relational approaches, no significant overhead is added to deal with 'now'.

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Section: Background: Temporal Database Semanticsmentioning

confidence: 99%

Section: Background: Temporal Database Semanticsmentioning

confidence: 99%

Section: Background: Temporal Database Semanticsmentioning

confidence: 99%

Section: Background: Temporal Database Semanticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Comprehensive Approach to ‘Now’ in Temporal Relational Databases: Semantics and Representation

Anselma¹,

Piovesan²,

Sattar³

et al. 2016

IEEE Trans. Knowl. Data Eng.

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An AI Approach to Temporal Indeterminacy in Relational Databases

Anselma

Piovesan

Terenziani

2018

Advances in Artificial Intelligence - IBERAMIA 2018

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Time is pervasive of the human way of approaching reality, so that it has been widely studied in many research areas, including Artificial Intelligence (AI) and relational Temporal Databases (TDB). Indeed, while thousands of TDB papers have been devoted to the treatment of determinate time, only few approaches have faced temporal indeterminacy (i.e., "don't know exactly when" indeterminacy). In this paper, we propose a new AI-based methodology to approach temporal indeterminacy in relational DBs. We show that typical AI techniques, such as studying the semantics of the representation formalism, and adopting symbolic manipulation techniques based on such a semantics, are very important in the treatment of indeterminate time in relational databases.

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META-GLARE’s Supports to Agent Coordination

Anselma

Bottrighi

Piovesan

et al. 2019

Biomedical Engineering Systems and Technologies

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Clinical Guidelines (GLs) provide evidence-based recommendations to suggest to physicians the "best" medical treatments, and are widely used to enhance the quality of patient care, and to optimize it. In many cases, the treatment of patients cannot be provided by a unique healthcare agent, operating in a unique context. For instance, the treatment of chronic patients is usually performed not only in the hospital, but also at home and\or in the general practitioner's ambulatory, and many healthcare agents (e.g., different specialist, nurses, family doctor) may be involved. To grant the quality of the treatments, all such agents must cooperate and interact. A computer-based support to GL execution is important to provide facilities for coordinating such different agents, and for granting that, at each time, the actions to be executed have a "proper" person in charge and executor, and are executed in the correct context. Additionally, also facilities to support the delegation of responsibility should also be considered. In this paper we extend META-GLARE, a computerized GL management system, to support such needs providing facilities for (1) treatment continuity (2) action contextualization, (3) responsibility assignment and delegation (4) check of agent "appropriateness". Specific attention is also devoted to the temporal dimension, to grant that each action is executed according to the temporal constraints possibly present in the GL. We illustrate our approach by means of a practical case study.

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Valid-Time Indeterminacy in Temporal Relational Databases: Semantics and Representations

Cited by 22 publications

References 14 publications

A Comprehensive Approach to ‘Now’ in Temporal Relational Databases: Semantics and Representation

A Comprehensive Approach to ‘Now’ in Temporal Relational Databases: Semantics and Representation

An AI Approach to Temporal Indeterminacy in Relational Databases

META-GLARE’s Supports to Agent Coordination

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