BusSEngine: a business search engine

With the emergence of World Wide Web, business’ databases are increasingly being queried directly by customers. The customers may not be aware of the underlying data and its structure, and might have never learned a query language that enables them to issue structured queries. Some of the business’...

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Bibliographic Details
Published in:Knowledge and information systems 2010-05, Vol.23 (2), p.153-197
Main Authors: Taha, Kamal, Elmasri, Ramez
Format: Article
Language:English
Subjects:
Applied sciences
Computer Science
Computer science
control theory
systems
Customer services
Data Mining and Knowledge Discovery
Data processing. List processing. Character string processing
Database Management
Employees
Exact sciences and technology
Information retrieval
Information Storage and Retrieval
Information Systems and Communication Service
Information Systems Applications (incl.Internet)
Information systems. Data bases
IT in Business
Keywords
Memory organisation. Data processing
Queries
Regular Paper
Search engines
Semantics
Software
Students
Studies
World Wide Web
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Summary:With the emergence of World Wide Web, business’ databases are increasingly being queried directly by customers. The customers may not be aware of the underlying data and its structure, and might have never learned a query language that enables them to issue structured queries. Some of the business’ employees who query the databases may also not be aware of the structure of the data, but they are likely to be aware of some labels of elements containing data. We propose in this article: (1) an XML Keyword-Based search engine for answering business’ customers called BusSEngine-K, and (2) an XML loosely Structured-Based search engine for answering business’ employees called BusSEngine-L. The two engines employ novel context-driven search techniques and are built on top of XQuery search engine. The two engines were evaluated experimentally and compared with three recently proposed XML search engines. The results showed marked improvement.
ISSN:0219-1377
0219-3116
DOI:10.1007/s10115-009-0210-6