document: Anatomy of the coupling query in a Web warehouse 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 -LRB- WHOWEDA -RRB- . A coupling query may be used for querying both HTML and XML documents . Important features of our query mechanism are the ability to query metadata , content , internal and external -LRB- hyperlink -RRB- 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 a query graphically and in textual form using a coupling graph and coupling text , respectively
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extractive_keyphrases: coupling query web warehouse data warehouse warehouse of web data xml documents metadata content web documents partial knowledge tag attributes tagless segment disjunctive query conditions topological structure hyperlinked documents coupling text
abstractive_keyphrases: html documents internal structure external structure conjunctive query conditions execution control graphical query formulation textual query formulation