Building Dynamic Market Places Using HyperQueries

Abstract

Electronic market places and virtual enterprises have become important applications for query processing [2]. Building a scalable virtual B2B market place with hundreds or thousands participants requires highly flexible, distributed query processing capabilities. Architecting an electronic market place as a data warehouse by integrating all the data from all participating enterprises in one centralized data repository incurs severe problems: - Security and privacy violations: The participants of the market place have to relinquish the control over their data and entrust sensitive information to the market place host. - Coherence problems: The coherence of highly dynamic data, such as availability and shipping information, may be violated due to outdated materialized data in the market place’s data warehouse. - Schema integration problems: Using the warehouse approach all relevant data from all participants have to be converted à priori into the same format. Often, it would be easier to leave the data inside the participant’s information systems, e.g., legacy systems, within the local sites, and apply particular local wrapper operations. This way, data is only converted on demand and the most recent coherent state of the data is returned. - Fixed query operators: In a data warehouse-like electronic market place, all information is converted into materialized data. This is often not desirable in such complex applications like electronic procurement/bidding.KeywordsQuery ProcessingMarket PlaceVirtual EnterpriseReference ArchitectureElectronic Market PlaceThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.