Schema integration plays an important part in research areas of heterogeneous information
systems and semantic interoperability. How to acquire data semantic knowledge from the …

To find similarities between objects of different schemata at the semantic level is a crucial
problem in schema integration. To identify such similarities it is necessary to form a set of …

The identification of semantic relationships between schema elements, or schema matching,
is the initial step in the integration of data sources. Existing approaches in automatic schema …

Schema integration is the activity of providing a unified representation of multiple data
sources. The core problems in schema integration are: schema matching, ie the …

Interoperability and integration of data sources are becoming ever more important issues as
both, the amount of data and the number of data producers are growing. Interoperability not …

Schema integration is a central task for data integration. Over the years, many tools have
been developed to discover correspondences between schemas elements. Some of them …

Success in database schema integration depends on the ability to capture real world
semantics of the schema objects, and to reason about the semantics. Earlier schema …

Abstract (EN) Schema matching aims at identifying semantic correspondences between
elements of two schemas, eg, database schemas, ontologies, and XML message formats. It …

Integration of multiple heterogeneous data sources continues to be a critical problem for
many application domains and a challenge for researchers world-wide. Schema matching, a …

Database integration aims at providing a uniform and consistent view called global schema,
over a set of autonomous and heterogeneous data sources, so that data residing in different …