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Temporal Attributes: their Status and Subsumption

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dc.contributor.author Keet, CM
dc.contributor.author Nasubo Ongoma, EA
dc.date.accessioned 2016-02-23T09:08:43Z
dc.date.available 2016-02-23T09:08:43Z
dc.date.issued 2015-01
dc.identifier.citation Keet, CM and Nasubo Ongoma, EA. 2015. Temporal Attributes: their Status and Subsumption. Australasian Computer Science Week, Sydney, NSW, Australia, 27 - 30 January 2015 en_US
dc.identifier.uri http://pubs.cs.uct.ac.za/archive/00001003/
dc.identifier.uri http://www.meteck.org/files/TempAttAPCCM15.pdf
dc.identifier.uri http://hdl.handle.net/10204/8412
dc.description Australasian Computer Science Week, Sydney, NSW, Australia, 27 - 30 January 2015. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website en_US
dc.description.abstract Representing data that changes over time in conceptual data models is required by various application domains, and requires a language that is expressive enough to fully capture the operational semantics of the time-varying information. Temporal modelling languages typically focus on representing and reasoning over temporal classes and relationships, but have scant support for temporal attributes, if at all. This prevents one to fully utilise a temporal conceptual data model, which, however, is needed to model not only evolving objects (e.g., an employee's role), but also its attributes, such as changes in salary and bonus payouts. To characterise temporal attributes precisely, we use the DLRUS Description Logic language to provide its model-theoretic semantics, therewith essentially completing the temporal ER language ERVT. The new notion of status attribute is introduced to capture the possible changes, which results in several logical implications they entail, including their interaction with temporal classes to ensure correct behaviour in subsumption hierarchies, paving the way to verify automatically whether a temporal conceptual data model is consistent. en_US
dc.language.iso en en_US
dc.publisher Australian Computer Society, Inc en_US
dc.relation.ispartofseries Workflow;15634
dc.subject Temporal conceptual data model en_US
dc.subject Temporal attributes en_US
dc.subject Dynamic data en_US
dc.subject Description logics en_US
dc.title Temporal Attributes: their Status and Subsumption en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Keet, C., & Nasubo Ongoma, E. (2015). Temporal Attributes: their Status and Subsumption. Australian Computer Society, Inc. http://hdl.handle.net/10204/8412 en_ZA
dc.identifier.chicagocitation Keet, CM, and EA Nasubo Ongoma. "Temporal Attributes: their Status and Subsumption." (2015): http://hdl.handle.net/10204/8412 en_ZA
dc.identifier.vancouvercitation Keet C, Nasubo Ongoma E, Temporal Attributes: their Status and Subsumption; Australian Computer Society, Inc; 2015. http://hdl.handle.net/10204/8412 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Keet, CM AU - Nasubo Ongoma, EA AB - Representing data that changes over time in conceptual data models is required by various application domains, and requires a language that is expressive enough to fully capture the operational semantics of the time-varying information. Temporal modelling languages typically focus on representing and reasoning over temporal classes and relationships, but have scant support for temporal attributes, if at all. This prevents one to fully utilise a temporal conceptual data model, which, however, is needed to model not only evolving objects (e.g., an employee's role), but also its attributes, such as changes in salary and bonus payouts. To characterise temporal attributes precisely, we use the DLRUS Description Logic language to provide its model-theoretic semantics, therewith essentially completing the temporal ER language ERVT. The new notion of status attribute is introduced to capture the possible changes, which results in several logical implications they entail, including their interaction with temporal classes to ensure correct behaviour in subsumption hierarchies, paving the way to verify automatically whether a temporal conceptual data model is consistent. DA - 2015-01 DB - ResearchSpace DP - CSIR KW - Temporal conceptual data model KW - Temporal attributes KW - Dynamic data KW - Description logics LK - https://researchspace.csir.co.za PY - 2015 T1 - Temporal Attributes: their Status and Subsumption TI - Temporal Attributes: their Status and Subsumption UR - http://hdl.handle.net/10204/8412 ER - en_ZA


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