The temporal query language TQuel
ACM Transactions on Database Systems (TODS)
A temporal relational model and a query language
Information Sciences: an International Journal
A query language and optimization techniques for unstructured data
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Catching the boat with Strudel: experiences with a Web-site management system
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Applications of a Web query language
Selected papers from the sixth international conference on World Wide Web
Database techniques for the World-Wide Web: a survey
ACM SIGMOD Record
On a Declarative Semantics for Web Queries
DOOD '97 Proceedings of the 5th International Conference on Deductive and Object-Oriented Databases
The Historical Relational Data Model (HRDM) and Algebra Based on Lifespans
Proceedings of the Third International Conference on Data Engineering
WebOQL: Restructuring Documents, Databases, and Webs
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
W3QS: A Query System for the World-Wide Web
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
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
Parameter driven synthetic web database generation
Journal of Systems and Software
Temporal modelling and management of normative documents in XML format
Data & Knowledge Engineering - Special issue: WIDM 2003
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We present a temporal web data model designed for warehousing historical data from World Wide Web that changes with time. As the Web is now populated with large volume of web information, it has become necessary to capture some useful web information in a data warehouse that supports further intelligent data analysis. Nevertheless, due to the unstructured and dynamic nature of Web, the traditional relational model and its temporal variants could not be used to build such a data warehouse. In this paper, we therefore propose a temporal web data model that captures the connectivities of web documents and their content in the form of temporal web tables. To support the analysis of web data that evolve with time, valid time intervals are associated with each web document. To manipulate temporal web tables, we define a variety of web operators and illustrate their usefulness using some realistic motivating examples.