A Survey of the State of Dataspaces
Date
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Computer and Information Technology
Abstract
This paper presents a
survey of the state of
dataspaces
.
With dataspaces becoming the modern technique of
systems integration, the ach
ievement of complete dataspace
development is a critical issue. This has led to the design and
implementation of dataspace systems using various approaches.
Dataspaces are data integration approaches that target for data
coexistence in the spatial domain.
Unlike traditional data
integration techniques, they do not require up front semantic
integration of data. In this paper, we outline and compare the
properties and implementations of dataspaces including the
approaches of optimizing dataspace development.
We finally
present actual dataspace development recommendations
to
provide a global overview of this significant research topic
.
Description
Published in International Journal of Computer and Information Technology.
This paper presents a survey of the state of dataspaces. With dataspaces becoming the modern technique of systems integration, the achievement of complete dataspace development is a critical issue. This has led to the design and implementation of dataspace systems using various approaches. Dataspaces are data integration approaches that target for data coexistence in the spatial domain. Unlike traditional data integration techniques, they do not require up front semantic integration of data. In this paper, we outline and compare the properties and implementations of dataspaces including the approaches of optimizing dataspace development. We finally present actual dataspace development recommendations to provide a global overview of this significant research topic.
This paper presents a survey of the state of dataspaces. With dataspaces becoming the modern technique of systems integration, the achievement of complete dataspace development is a critical issue. This has led to the design and implementation of dataspace systems using various approaches. Dataspaces are data integration approaches that target for data coexistence in the spatial domain. Unlike traditional data integration techniques, they do not require up front semantic integration of data. In this paper, we outline and compare the properties and implementations of dataspaces including the approaches of optimizing dataspace development. We finally present actual dataspace development recommendations to provide a global overview of this significant research topic.
Keywords
Dataspaces, Systems integration, Spatial databases, Entity collaboration, Geo data, Data management