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DC Field | Value | Language |
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dc.contributor.author | Daga, A | - |
dc.contributor.author | de Cesare, S | - |
dc.contributor.author | Lycett, M | - |
dc.contributor.author | Partridge, C | - |
dc.coverage.spatial | 9 | en |
dc.date.accessioned | 2009-05-08T13:40:27Z | - |
dc.date.available | 2009-05-08T13:40:27Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) (pp. 224a). Los Alamitos, California. 224a- 224a | en |
dc.identifier.issn | 1530-1605 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/3287 | - |
dc.description.abstract | Legacy Information Systems (LIS) pose a challenge for many organizations. On one hand, LIS are viewed as aging systems needing replacement; on the other hand, years of accumulated business knowledge have made these systems mission-critical. Current approaches however are often criticized for being overtly dependent on technology and ignoring the business knowledge which resides within LIS. In this light, this paper proposes a means of capturing the business knowledge in a technology agnostic manner and transforming it in a way that reaps the benefits of clear semantic expression - this transformation is achieved via the careful use of ontology. The approach called Content Sophistication (CS) aims to provide a model of the business that more closely adheres to the semantics and relationships of objects existing in the real world. The approach is illustrated via an example taken from a case study concerning the renovation of a large financial system and the outcome of the approach results in technology agnostic models that show improvements along several dimensions. | en |
dc.format.extent | 172436 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | Sergio de Cesare | en |
dc.publisher | IEEE | - |
dc.subject | legacy system | en |
dc.subject | legacy transformation | en |
dc.subject | ontology | en |
dc.subject | content transformation | en |
dc.title | An ontological approach for recovering legacy business content | en |
dc.type | Conference Paper | en |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
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