schema matching is a critical step in many applications, such as data warehouse loading, online analytical process (olap), data mining, semantic web [2] and schema integration. this task is defined for finding the semantic correspondences between elements of two schemas. recently, schema matching has found considerable interest in both research and practice. in this paper, we present a new impr...

Schema matching is a critical step in many applications, such as data warehouse loading, Online Analytical Process (OLAP), Data mining, semantic web [2] and schema integration. This task is defined for finding the semantic correspondences between elements of two schemas. Recently, schema matching has found considerable interest in both research and practice. In this paper, we present a new impr...

In this paper we analyze and discuss schema quality in the schema integration process. In doing so, we apply a framework for evaluating the quality of a conceptual schema (e.g. conceptual database schema). In our analysis we combine quality factors and quality metrics with the schema integration process, which is often described as having four distinct phases: pre-integration, comparison of the...

Schema matching and schema integration are important components of the data sharing infrastructure in Collaborative Networks. In order to achieve more accurate matching and integration results and enhance efficiency, it is required to provide some mechanisms to carry out these processes as automatically as possible. This paper addresses the problems and challenges related to schema matching and...

We define an object-oriented data model called XSDM (XML Schema Data Model) and present a graphical representation of XML Schema integration. The three layers included are, namely, pre-integration, comparison and integration. During pre-integration, the schema present in XML Schema notation is read and is converted into the XSDM notation. During the comparison phase of integration, corresponden...

Schema integration is the process of consolidating several source schemas to generate a unified view, called the mediated schema, so that information scattered in the sources can be served uniformly from the mediated schema. Schema integration occurs in many scenarios such as data integration, logical database design, data warehousing and schema evolution. To make the mediated schema useful for...