Abstract
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.
Recommended Citation
S. S. Bhowmick et al., "Anatomy of the Coupling Query in a Web Warehouse," Information and Software Technology, vol. 44, no. 9, pp. 513 - 539, Elsevier, Jun 2002.
The definitive version is available at https://doi.org/10.1016/S0950-5849(02)00051-4
Department(s)
Computer Science
Keywords and Phrases
Coupling graph; Coupling query; Coupling text; Web tuples; Web warehouse
International Standard Serial Number (ISSN)
0950-5849
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
15 Jun 2002
