Real-time Data Warehousing with Temporal Requirements

Flexibility to react on rapidly changing general conditions of the environment has become a key factor for economic success of any company. The competitiveness of an enterprise is therefore to a large extent determined by the ability of its executives to deliver exact and just-in-time decisions. These decisions must be based on high-quality, up-to-date and complete information. This paper focuses on feeding real-time data warehouses. We present our work related to minimize the delay between the time a web page changes on internet and the time this change is detected by our system. We extract data from semistructured information sources maintaining the temporal consistency of the extracted data, and monitoring the web in accordance with the user temporal requirements.