The Stanford Data Warehousing Project

The goal of the data warehousing project at Stanford (the WHIPS project) is to develop algorithms and tools for the effcient collection and integration of information from heterogeneous and autonomous sources, including legacy sources. In this paper we give a brief overview of the WHIPS project, and we describe some of the research problems being addressed in the initial phase of the project.

[1]  Jennifer Widom,et al.  View maintenance in a warehousing environment , 1995, SIGMOD '95.

[2]  Jennifer Widom,et al.  Object exchange across heterogeneous information sources , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[3]  Jennifer Widom,et al.  Managing Semantic Heterogeneity with Production Rules and Persistent Queues , 1993, VLDB.

[4]  Jennifer Widom,et al.  An overview of production rules in database systems , 1993, The Knowledge Engineering Review.

[5]  W. H. Inmon,et al.  Rdb/VMS: Developing the Data Warehouse , 1993 .

[6]  Gio Wiederhold,et al.  Intelligent integration of information , 1993, SIGMOD Conference.

[7]  Elisa Bertino,et al.  A View Mechanism for Object-Oriented Databases , 1992, EDBT.

[8]  Gio Wiederhold,et al.  Mediators in the architecture of future information systems , 1992, Computer.

[9]  Jennifer Widom,et al.  Deriving Production Rules for Incremental View Maintenance , 1991, VLDB.

[10]  Serge Abiteboul,et al.  Objects and views , 1991, SIGMOD '91.

[11]  Nick Roussopoulos,et al.  Interoperability of multiple autonomous databases , 1990, CSUR.

[12]  A. Sheth.  Federated database systems for managing distributed, heterogeneous, and autonomous databases , 1990, CSUR.

[13]  Umeshwar Dayal,et al.  Active Database Management Systems , 1988, JCDKB.

[14]  Umeshwar Dayal,et al.  View Definition and Generalization for Database Integration in a Multidatabase System , 1984, IEEE Transactions on Software Engineering.