Modelling Dataspace Entity Association Using Set Theorems Journal Article


Authors: Kasamani, Shibwabo Bernard; Lukandu, Ateya Ismail; Gregory, Wanyembi
Article Title: Modelling Dataspace Entity Association Using Set Theorems
Alternate Title: Computer Technology and Application
Abstract: The development of dataspace support systems is far from realit y as individuals and enterprises are faced with the huge challenge of data management. Critical to this is the need to provide a model that represents the relationships between the ent ities collaborating in a dataspace. A dataspace is a new abstraction and target architecture to data ma nagement that does not require up-front semantic data integration. This paper m odels a dataspace using the set theory with entity mappings. A technique for identity re solution and pay-as-you-go data integration is explaine d. In order to provide a strong degree of assurance, the authors subject the mode l to certain real world entities that might form part of a global dataspace
Keywords: Dataspaces; entity collaboration; integration; geo data; data management.
Journal Title: Computer Technology and Application 3
Volume: 3
Issue: 6
Publisher: David Publishing  
Date Published: 2015-04-08
Start Page: 418
End Page: 424
DOI/URL: