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Towards the construction of quality-aware Web Warehouses with BPMN 2.0 Business Processes

Tipo
Paper de conferencia
Año
2014
Fecha
May
Páginas
1
Abstract

A Web Warehouse (WW) is a Data Warehouse which consolidates data from the Web. The goal of these systems is to act as an intermediary between data publication and the user, pre-processing data and adding value to them. This pre-processing involves data integration, data aggregation, data re-structuring and data quality measurement and improvement. A Business Process (BP) model helps us to specify the users, activities, precedence relations between activities and restrictions, that have to be carried out in order to obtain the desired output. In this paper we present a two level BP specification approach for constructing a WW which has two distinctive characteristics: it manages data quality and it is configurable. The first level BP model is focused on helping the user to configure the web data sources and the desired data quality characteristics, the second level BP uses the defined configuration to generate the WW. Quality characteristics are also defined for the intermediate data sources used to populate the WW.

Citekey
6861041
doi
10.1109/RCIS.2014.6861041
Keywords
data preprocessing
data publication
data quality measurement
data restructuring
standards
Data models
data warehouse
intermediate data sources
quality-aware Web warehouses
two level BP specification approach
data quality
Business
Internet
Data mining
Load modeling
Engines
BPMN 2.0
Business Processes
Web Warehouse (WW)
backpropagation
business process re-engineering
data integration
data warehouses
BPMN 2.0 business processes
Web data sources
business process model
information systems
data aggregation