DEFINITION Extraction, Transformation, and Loading (ETL) processes are responsible for the operations taking place in the back stage of a data warehouse architecture. In a high level description of an ETL process, first, the data are extracted from the source data stores that can be On-Line Transaction Processing (OLTP) or legacy systems, files under any format, web pages, various kinds of docu...

The US Food and Drug Administration recommends submission of digital electrocardiograms in the standard HL7 XML format into the electrocardiogram warehouse to support preapproval review of new drug applications. The Food and Drug Administration scrutinizes electrocardiogram quality by viewing the annotated waveforms and scoring electrocardiogram quality by the warehouse algorithms. Part of the ...

The concept of a generalized quantiier of a given similarity type was deened in Lin66]. Our main result says that on nite structures diierent similarity types give rise to diierent classes of generalized quantiiers. More exactly, for every similarity type t there is a generalized quantiier of type t which is not deenable in the extension of rst order logic by all generalized quantiiers of type ...

This paper presents current research trends and ongoing challenges in data warehouse design methods. In secondary data use context, traditional data warehouse design methods don’t address many of today’s challenges; particularly in the healthcare domain were semantics plays an essential role to achieve an effective and implementable heterogeneous data integration while satisfying core requireme...

During the last decade, data warehouse and OLAP techniques have helped companies to gather, organize and analyze the structured data they produce. Simultaneously, digital libraries have applied Information Retrieval mechanisms to query their repositories of unstructured documents. In this context, the emergence of XML means the convergence of these two approaches, making possible the developmen...

We present incremental view maintenance algorithms for a data warehouse derived from multiple distributed autonomous data sources. We begin with a detailed framework for analyzing view maintenance algorithms for multiple data sources with concurrent updates. Earlier approaches for view maintenance in the presence of concurrent updates typically require two types of messages: one to compute the ...