Monitoring web data sources using temporal properties as an external resources of a data warehouse

Flexibility to react on rapidly changing general conditions of the environment has become a key factor for economic success of any company, and the WWW has become an important resource of information for this proposal. Nowadays most of the important enterprise has incorporated the Data Warehouse (DW) technology where the information retrieved from different sources, including the WWW, has been integrated. The quality of data provided to the decision makers depends on the capability of the DW system to convey in a reasonable time, from the sources to the data marts, the changes made at the data sources. If we use the data arrival properties of such underlying information sources, the DW Administrator can derive more appropriate rules and check the consistency of user requirements more accurately. In this paper we present an algorithm for data integration depending on the temporal characteristics of the data sources and an architecture for monitoring web sources on the WWW in order to obtain its temporal properties. In addition we show an example applied to tourism area where data integrated into DW can be used to schedule personalized travel as a value-added service for electronic commerce.