Evaluating and selecting Web sources as external information resources of a data warehouse

Abstract

A company's local data is often insufficient for analyzing market trends and making reasonable business plans. Decision making must also be based on information from suppliers, partners and competitors. Systematically integrating suitable external data from the Web into a data warehouse is a meaningful solution and will benefit the enterprise. However, the autonomy and dynamics of the Web make the task of selecting relevant and qualified external data from the Web challenging. We develop a set of criteria for evaluating and selecting Web resources as external data sources of a data warehouse and discuss how to screen Web data sources using multi-criteria decision making (MCDM) methods. The final decision with respect to selecting Web sources is sensitive to critical factors, i.e., the criterion weight and performance score of alternatives in terms of each criterion. We analyzed the sensitivity of the final rank of alternatives in terms of critical factors in order to gain an insight into the stability of our final decision. The comparison of several MCDM approaches for Web source screening is also presented.

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