Information integration plays an important role in academic environments since it provides a comprehensive view of education data and enables mangers to analyze and evaluate the effectiveness of education processes. However, the problem in the traditional information integration is the lack of personalization due to weak information resource or unavailability of analysis functionality. In this ...

The amount of information produced in the world increases by 30% every year and this rate will only go up. With advanced network technology, more and more sources are available either over the Internet or in enterprise intranets. Modern data management applications, such as setting up Web portals, managing enterprise data, managing community data, and sharing scientific data, often require inte...

Database integration provides integrated access to multiple data sources. Database integration has two main activities: schema integration (forming a global view of the data contents available in the sources) and data integration (transforming source data into a uniform format). This paper focuses on automating the aspect of data integration known as entity identification using data mining tech...

Various user groups at the University of Leipzig use microarray technology (mainly from Affymetrix Inc.) for gene expression analysis in their research and are producing several hundreds of experiment a year. To manage the large amounts of data resulting from these experiments, a comprehensive database solution is necessary, in particular to store raw microarray data as well as derived data and...

Data integration systems provide a uniform query interface (UQI) to multiple, autonomous data sources [4]. This paper presents the universal data model (UDM) that captures the semantically salient aspects of relational, entity-relationship, and XML data models. As a consequence, UDM — including its accompanying query language — provides a simple and elegant UQI for integrating data represented ...