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This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semi-automatic manner without relying on pre-existing, global semantic models. We assume that large amounts of data exist that have been organi ...
Today the problem of semantic interoperability in information search on the Internet is solved mostly by means of centralization, both at a sys-tem and at a logical level. This approach has been successful to a certain extent. Peer-to-peer systems as a new ...
Successful information management implies the ability to design accurate representations of the real world of interest to targeted applications. Current systems do not provide representation schemes supporting the diversity of user needs. In the context of ...
In many large companies the widespread usage of computers has led a number of different application-specific databases to be installed. As company structures evolve, boundaries between departments move, creating new business units. Their new applications w ...
Successful information management implies the ability to design accurate representations of the real world of interest to targeted applications. Current systems do not provide representation schemes supporting the diversity of user needs. In the context of ...
Our vision of a viable way for transparent and meaningful processing of heterogeneous spatio-temporal data is to put data semantics in the foundation of an integration process. We present and correlate means of integration as components of the mediation le ...
Professionals in various fields such as medical imaging, biology and civil engineering require rapid access to huge amounts of pixmap image data. This paper fulfils these requirements by conceiving and developing an architecture integrating processing and ...