Modern information systems may exploit numerous XML formats for communication. Each message may have its own XML format for data representation which causes problems with integration and evolution of their schemas. Manual integration and management of evolution of the XML formats may be very hard. We tackled this problem in our previous work, however, for simplicity reasons, we omitted the poss...

The availability of large amounts of heterogeneous distributed web data necessitates the integration of XML data from multiple XML sources for many reasons. For example, currently, there are many e-commerce companies, which offer similar products but use different XML schemas with possibly different ontologies. When any two such companies merge, or make an effort to service customers in coopera...

Data Integration is the process of combining data residing at different sources with associated local schemas to form a single virtual database with an associated global schema [1, 2]. This is to provide the user with a uniform query interface for multiple independent heterogeneous data sources [3, 4]. There are four main approaches of data integration. They are Global As view (GAV), Local As V...

A key aspect of any data integration endeavor is determining the relationships between the source schemata and the target schema. This schema integration task must be tackled regardless of the integration architecture or mapping formalism. In this paper, we provide a task model for schema integration. We use this breakdown to motivate a workbench for schema integration in which multiple tools s...

In this paper, problems in integration of fuzzy relational databases have been investigated and some solutions have been proposed. In general, database integration consists of two main processes called schema integration and instance integration that results into global schema and global instance respectively. Current work assumes a schema integration process to get a global schema from a colle...

ticals, e-commerce comparison sites and cyber intelligence. Schema matching lifts data integration—traditionally focused on well-structured data—to highly. Comparative Evaluation of Microarray-based Gene Expression Databases. BTW 2003: 482-501 Erhard Rahm: Comparison of Schema Matching Evaluations. will raise the bar for empirical evaluation and comparison of data integration Integration tasks ...

Schema integration is the procedure to integrate several inter-related schemas to produce a unified schema, called the mediated schema. There are two major flavors of schema integration: data integration and view integration. The former deals with integrating multiple data sources to create a mediated query interface, while the latter aims at constructing a base schema, capable of supporting th...

Although there have been standardization efforts for more than ten years, heterogeneity of business process modelling schemas is still a big problem for business process management. This paper discusses the applicability of schema integration methodology in this context and illustrates specific integration problems by discussing the example of BPEL and PNML. Different control flow representatio...

Developing a declarative approach to schema integration in the context of heterogeneous database systems is a major goal of this research. We take a rst step toward this goal in this paper, by developing a simple logic called SchemaLog which is syntactically higher-order but has a rst-order semantics. SchemaLog can provide for a logical integration of multiple relational databases in a federati...