With the proliferation of various kinds of sensor networks, we will see large amounts of heterogeneous data. They have different characteristics such as data content, formats, mod...
Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ran...
Semantic matching1 is a fundamental step in implementing data sharing applications. Most systems automating this task however limit themselves to finding simple (one-to-one) match...
: Independent, heterogeneous, distributed, sometimes transient and mobile data sources produce an enormous amount of information that should be semantically integrated and filtere...
: For the integration of data that resides in autonomous data sources Software AG uses ontologies. Data source ontologies describe the data sources themselves. Business ontologies ...
The exponential growth of the web and the extended use of database management systems in widely distributed information systems has brought to the fore the need for seamless interc...
— Intelligence Transportation Systems are critical to improve the efficiency of modern transportation by reducing congestions, providing real time road conditions. A system that...
Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ran...
K-anonymity is a simple yet practical mechanism to protect privacy against attacks of re-identifying individuals by joining multiple public data sources. All existing methods achi...
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang 0009, Ke ...
There is a growing trend of enabling users to view diverse sources of data in an integrated manner, called visual mashups. This paper addresses the problem of how to visualize div...
: Integrated access to distributed data is an important problem faced in scientific and commercial applications. A data integration system provides a unified view for users to subm...
XML is by now the de facto standard for exporting and exchanging data on the web. The need for querying XML data sources whose structure is not fully known to the user and the need...