Data transformation for warehousing Web data
Yan Li Zhu, Christof Bornhövd, Alejandro Buchmann · 2002
In order to analyze market trends and make reasonable business plans, a company's local data is not sufficient. Decision-making must also be based on information from suppliers, partners and competitors. This external data can be obtained from the World Wide Web in many cases, but must be integrated with the company's own data, e.g. in a data warehouse. To this end, Web data has to be mapped to the star schema of the warehouse. In this paper, we propose a semi-automatic approach to support this transformation process. Our approach is based on the use of a rooted labeled tree representation of Web data and the existing warehouse schema. Based on this common view, we can compare the source and target schemata to identify correspondences. We show how the correspondences guide the transformation to be accomplished automatically. We also explain the meaning of recursion and restructuring in mapping rules, which are the core of the transformation algorithm.