The paper considers an original approach to the process of integration of complex database schemas. Apart from the proposed theoretical model of the approach, we also developed a CASE tool, named IIS*Case (Integrated Information Systems*Case, R.6.0), which enables its practical application. The basis of the approach aimed at designing and integration of database schemas and the ways of using II...

Schema matching is one of the key challenges in the process of integrating heterogeneous databases which identifies the correspondences among different elements of databases’ schemas. There are several semi-automatic schema matching algorithms, however these algorithms do not exploit most of the available information related to schemas during the process of schema matching which affects on the ...

This paper proposed xml entities based architectural implementation to improve integration between multiple third party vendor software systems with incompatible xml schema. The xml entity architecture implementation showed that the lines of code change required for mapping the schema between in house software and three other vendor schema, decreased by 5.2%, indicating an improvement in qualit...

Business intelligence applications are being increasingly used to facilitate managerial insight and maintain competitiveness. These applications rely on the availability of integrated data from multiple data sources, making database integration an increasingly important task. A central step in the process of data integration is schema matching, the identification of similar elements in the two ...

The world of spatial data is split into individual data source islands that have different thematic or spatial focuses. When attempting to integrate those data sources, severe challenges arise, since for most GIS application domains a spatial integration schema does not exist. This is also true for the newly emerging domain of mobile, context-aware applications. Since the users of these systems...

In the paper we discuss the problem of XML data integration in a P2P environment. In this setting each peer stores schema of its local data, mappings between the schema and schemas of some other peers (peer’s partners), and schema constraints. The goal of the integration is to answer the queries formulated against arbitrarily chosen peers. The answer consists of data stored in the queried peer ...

Data warehouses integrate data from remote, heterogeneous, autonomous data sources into a materialised central database. The heterogeneity of these data sources has two aspects, data expressed in different data models, called model heterogeneity, and data expressed within different schemas of the same data model, called schema heterogeneity. AutoMed is an approach to heterogeneous data transfor...

Schema mapping is a challenging problem. It has come to the fore in recent years; there are important applications like database schema integration and, more recently, digital library (DL) merging of heterogeneous data. With Schema Mapper we demonstrate a semi-automatic tool for schema integration that combines a novel visual interface with an algorithm-based recommendation engine. We use ETANA...

The goal of data integration is to provide a uniform access to a set of heterogeneous data sources, freeing the user from the knowledge about where the data are, how they are stored, and how they can be accessed. One of the outcomes of the research work carried out on data integration in the last years is a clear architecture, comprising a global schema, the source schema, and the mapping betwe...

There are two key motivations for this work. First, the implementation of object-oriented databases has grown to a significant number. Second, there has been a need for integrated access of information from multiple data sources. The multidatabase system has been proposed as a solution for integrated access of data from multiple distributed, heterogeneous, and autonomous database systems. To pr...