Publication Type
Journal Article
Version
publishedVersion
Publication Date
2002
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.
Discipline
Databases and Information Systems
Publication
Information and Software Technology
Volume
44
Issue
9
First Page
513
Last Page
539
ISSN
0950-5849
Identifier
10.1016/S0950-5849(02)00051-4
Publisher
Elsevier
Citation
BHOWMICK, Sourav S.; MADRIA, Sanjay Kumar; NG, Wee-Keong; and LIM, Ee Peng.
Anatomy of a coupling query in a web warehouse. (2002). Information and Software Technology. 44, (9), 513-539.
Available at: https://ink.library.smu.edu.sg/sis_research/66
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1016/S0950-5849(02)00051-4