@conference {6861041,
	title = {Towards the construction of quality-aware Web Warehouses with BPMN 2.0 Business Processes},
	booktitle = {Research Challenges in Information Science (RCIS), 2014 IEEE Eighth International Conference on},
	year = {2014},
	month = {May},
	pages = {1-6},
	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.},
	keywords = {backpropagation, BPMN 2.0, BPMN 2.0 business processes, Business, business process model, business process re-engineering, Business Processes, data aggregation, data integration, Data mining, Data models, data preprocessing, data publication, data quality, data quality measurement, data restructuring, data warehouse, data warehouses, Engines, information systems, intermediate data sources, Internet, Load modeling, quality-aware Web warehouses, standards, two level BP specification approach, Web data sources, Web Warehouse (WW)},
	doi = {10.1109/RCIS.2014.6861041},
	author = {Andrea Delgado and Adriana Marotta and Laura Gonz{\'a}lez}
}

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