To populate a data warehouse specifically designed for Web data, i.e. web warehouse, it is imperative to harness relevant documents from the Web. In this paper, we describe a query mechanism called coupling query to glean relevant Web data in the context of our web warehousing system called Warehouse of Web Data (WHOWEDA). Coupling query may be used for querying both HTML and XML documents. Some of the important features of our query mechanism are ability to query metadata, content, internal and external (hyperlink) structure of Web documents based on partial knowledge, ability to express constraints on tag attributes and tagless segment of data, ability to express conjunctive as well as disjunctive query conditions compactly, ability to control execution of a web query and preservation of the topological structure of hyperlinked documents in the query results. We also discuss how to formulate query graphically and in textual form using coupling graph and coupling text, respectively. © 2002 Published by Elsevier Science B.V.


Computer Science

Keywords and Phrases

Coupling graph; Coupling query; Coupling text; Web tuples; Web warehouse

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Document Type

Article - Journal

Document Version


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Publication Date

15 Jun 2002