A query language and optimization techniques for unstructured data
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
STRUDEL: a Web site management system
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
WebOQL: Restructuring Documents, Databases, and Webs
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
W3QS: A Query System for the World-Wide Web
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Information Coupling in Web Databases
ER '98 Proceedings of the 17th International Conference on Conceptual Modeling
Web Warehousing: Design and Issues
ER '98 Proceedings of the Workshops on Data Warehousing and Data Mining: Advances in Database Technologies
Join Processing in Web Databases
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
Web Warehousing: An Algebra for Web Information
ADL '98 Proceedings of the Advances in Digital Libraries Conference
A Declarative Language for Querying and Restructuring the Web
RIDE '96 Proceedings of the 6th International Workshop on Research Issues in Data Engineering (RIDE '96) Interoperability of Nontraditional Database Systems
Knowledge discovery using Web bags in a Web warehouse
Information organization and databases
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With the enormous amount of data stored in the World Wide Web, it is increasingly important to design and develop powerful web warehousing tools. The key objective of our web warehousing project, called WHOWEDA (Warehouse of Web Data), is to design and implement a web warehouse that materializes and manages useful information from the Web. In this paper, we introduce the concept of Pi-web join in the context of WHOWEDA. Pi-web join operator is a web information manipulation operator to combine relevant web information residing in two web tables. Informally, it is the combination of web join and web project operators which filter out irrelevant information from a joined web table. In this paper, we show how to construct the Pi-joined web table and its schema. We also highlight the benefits of the Pi-web join operator.