Integration of weakly heterogeneous semistructured data

Feuerlicht, G; Pokorný, J; Richta, K; Ruttananontsatean, N

Integration of weakly heterogeneous semistructured data

Feuerlicht, G Pokorný, J Richta, K Ruttananontsatean, N

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Publication Type:: Conference Proceeding
Citation:: Information Systems Development: Towards a Service Provision Society, 2009, pp. 69 - 78
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Feuerlicht, G	en_US
dc.contributor.author	Pokorný, J	en_US
dc.contributor.author	Richta, K	en_US
dc.contributor.author	Ruttananontsatean, N	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	Information Systems Development: Towards a Service Provision Society, 2009, pp. 69 - 78	en_US
dc.identifier.isbn	9780387848099	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11907
dc.description.abstract	While most business applications typically operate on structured data that can be effectively managed using relational databases, some applications use more complex semistructured data that lacks a stable schema. XML techniques are available for the management of semistructured data, but such techniques tend to be ineffective when applied to large amounts of heterogeneous data, in particular in applications with complex query requirements. We describe an approach that relies on the mapping of multiple semistructured data sets to object-relational structures and uses an object-relational database to support complex query requirements. As an example we use weakly heterogeneous oceanographic data. © 2009 Springer Science+Business Media, LLC.	en_US
dc.relation.ispartof	Information Systems Development: Towards a Service Provision Society	en_US
dc.relation.isbasedon	10.1007/b137171_8	en_US
dc.title	Integration of weakly heterogeneous semistructured data	en_US
dc.type	Conference Proceeding
utslib.for	080604 Database Management	en_US
dc.location.activity	Paphos, Cyprus	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

While most business applications typically operate on structured data that can be effectively managed using relational databases, some applications use more complex semistructured data that lacks a stable schema. XML techniques are available for the management of semistructured data, but such techniques tend to be ineffective when applied to large amounts of heterogeneous data, in particular in applications with complex query requirements. We describe an approach that relies on the mapping of multiple semistructured data sets to object-relational structures and uses an object-relational database to support complex query requirements. As an example we use weakly heterogeneous oceanographic data. © 2009 Springer Science+Business Media, LLC.

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http://hdl.handle.net/10453/11907