Personal Views for Web Catalogs

نویسندگان

  • Kajal T. Claypool
  • Li Chen
  • Elke A. Rundensteiner
چکیده

Large growth in e-commerce has culiminated in technology boom to enable companies to better serve their consumers. The front-end of the e-commerce business is to better reach the consumer which means to better serve the information on the Web. An end-to-end solution that provides such capabilities includes technology to enable personalization of information, to serve the personalized information to individual users, and to manage change both in terms of new data as well as in terms of the evolution of personal taste of the individual user. In this work, we present an approach that allows automated creation and generation of diversified and customized web pages from an object database (based on the ODMG object model), and automated maintenance of these web pages once they have been build. The strength of our approach is its superior re-structuring capabilities to produce personal views as well as its generic propagation framework to propagate schema changes, data updates, security information and so on from the base source to the personal view and vice versa.

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عنوان ژورنال:
  • IEEE Data Eng. Bull.

دوره 23  شماره 

صفحات  -

تاریخ انتشار 2000