Large scale genomic studies with multiple phenotypic or genotypic measures may require the identification of complex multivariate relationships. In multivariate analysis a common way to inspect the relationship between two sets of variables based on their correlation is canonical correlation...

The successful integration of data from autonomous and heterogeneous systems calls for the resolution of semantic conflicts that may be present. Such conflicts are often reffected by discrepancies in attribute values of the same data object. In this paper, we describe a recently developed...

In this paper we examine the opportunities for data integration in the context of the emerging Web Services systems development paradigm. The paper introduces the programming standards associated with Web Services and provides an example of how Web Services can be used to unlock heterogeneous...

This paper is about why is Data Integration important for organisations around the world. Organizations struggle daily with the challenges of large distributed data volumes, inconsistently defined data across disparate systems and the high expectations of data consumers who depend on information...

File concatenation is an approach that can be used to integrate two (or more) sources of data which refer to the same target population. It consists in considering the concatenation of the two files as a unique data set. Although this approach seems to be natural in an integration procedure, it...

The systematic, transparent and accurate on-line energy information of the production process is quite the basis of mill energy management and conservation. An Energy Management System (EMS) was built according to the characteristics of the energy usage in a typical newsprint paper mill. The EMS...

Data integration is becoming an essential tool to cope with and make sense of the ever increasing amount of biological data. Genomic data arises in various shapes and forms including vectors, graphs or sequences, therefore, it is essential to carefully consider strategies that best capture the...

The paper is about the relationships between registers and surveys in the Italian official statistics. After a brief introduction on the historical background, marked by a polarization between the two strategies of data collection, the focus is on the 1980s and early 1990s. Under the presidency...

The paper deals with the problem of estimating structural business statistics by exploiting already existing administrative information integrated with survey data. In particular, the aim of the study is to verify the possibility of estimating key structural variables which are not directly...

Ontology represents a data source at a higher level of abstraction. Extracting metadata from an autonomous data source and transforming it into source ontology is a tedious and error prone task because the metadata are either incomplete or not available. The essential metadata of a source can be...