A Probabilistic Data Model and Its Semantics

Zhang, S; Zhang, C

A Probabilistic Data Model and Its Semantics

Zhang, S Zhang, C

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Publication Type:: Journal Article
Citation:: Journal of Research and Practice in Information Technology, 2003, 35 (4), pp. 237 - 256
Issue Date:: 2003-11-17

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Field	Value	Language
dc.contributor.author	Zhang, S	en_US
dc.contributor.author	Zhang, C https://orcid.org/0000-0001-5715-7154	en_US
dc.date.issued	2003-11-17	en_US
dc.identifier.citation	Journal of Research and Practice in Information Technology, 2003, 35 (4), pp. 237 - 256	en_US
dc.identifier.issn	1443-458X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/4007
dc.description.abstract	As database systems are increasingly being used in advanced applications, it is becoming common that data in these applications contain some elements of uncertainty. These arise from many factors, such as measurement errors and cognitive errors. As such, many researchers have focused on defining comprehensive uncertainty data models of uncertainty database systems. However, existing uncertainty data models do not adequately support some applications. Moreover, very few works address uncertainty tuple calculus. In this paper we advocate a probabilistic data model for representing uncertain information. In particular, we establish a probabilistic tuple calculus language and its semantics to meet the corresponding probabilistic relational algebra.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0343109
dc.relation.ispartof	Journal of Research and Practice in Information Technology	en_US
dc.subject.classification	Information Systems	en_US
dc.title	A Probabilistic Data Model and Its Semantics	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	35	en_US
utslib.for	080604 Database Management	en_US
utslib.for	08 Information and Computing Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - ACRI - Australia China Relations Institute
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	35	en_US

Abstract:

As database systems are increasingly being used in advanced applications, it is becoming common that data in these applications contain some elements of uncertainty. These arise from many factors, such as measurement errors and cognitive errors. As such, many researchers have focused on defining comprehensive uncertainty data models of uncertainty database systems. However, existing uncertainty data models do not adequately support some applications. Moreover, very few works address uncertainty tuple calculus. In this paper we advocate a probabilistic data model for representing uncertain information. In particular, we establish a probabilistic tuple calculus language and its semantics to meet the corresponding probabilistic relational algebra.

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http://hdl.handle.net/10453/4007