Abstract | ||
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We address the problem of large scale data integration, where the data sources are unknown at design time, are from autonomous organisations, and may evolve. Experiments are described involving a demonstrator system in the field of health services data integration within the UK. Current web services technology has been used extensively and largely successfully in these distributed prototype systems. The work shows that web services provide a good infrastructure layer, but integration demands a higher level "broker" architectural layer. The first version of the demonstrator is mostly based on static linking. Lessons from this are extracted, and used to design and implement the current version, in which a more dynamic broker- based integration using service-oriented architecture, late binding and domain ontology is described. |
Year | DOI | Venue |
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2006 | 10.1504/IJBPIM.2006.010903 | IJBPIM |
Field | DocType | Volume |
Data integration,Ontology-based data integration,Ontology,Data mining,Late binding,Computer science,Dynamic data,Broker Pattern,Web service,Service-oriented architecture | Journal | 1 |
Issue | Citations | PageRank |
3 | 5 | 1.28 |
References | Authors | |
22 | 11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fujun Zhu | 1 | 91 | 8.29 |
Mark Turner | 2 | 1436 | 54.61 |
Ioannis Kotsiopoulos | 3 | 172 | 16.77 |
Keith Bennett | 4 | 96 | 12.10 |
Michelle Russell | 5 | 69 | 6.10 |
David Budgen | 6 | 2642 | 164.00 |
Pearl Brereton | 7 | 1881 | 140.88 |
John Keane | 8 | 88 | 7.87 |
Paul Layzell | 9 | 306 | 38.28 |
Rigby Michael | 10 | 157 | 20.44 |
Jie Xu | 11 | 355 | 31.55 |