Modelling dataspace entity association using set theorems. Academic Article uri icon

abstract

  • The development of data-space support systems is far from reality 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 entities collaborating in a data-space. A data-space is a new abstraction and target architecture to data management that does not require up-front semantic data integration. This paper models a data-space using the set theory with entity mappings. A technique for identity resolution and pay-as-you-go data integration is explained. In order to provide a strong degree of assurance, the authors subject the model to certain real world entities that might form part of a global data-space.

publication date

  • June 2012

keywords

  • Dataspaces, entity collaboration, integration, geo data, data management.

start page

  • 418

end page

  • 424

volume

  • 3