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A new strategy for surfing the Web
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In a highly sophisticated and technologically advanced manner,
Vijayan
Sugumaran is toiling to make surfing the Web more efficient. The Oakland
University associate professor of management information systems is looking
at ways to personalize World Wide Web searches to make them more effective.
Using third-party software, Web surfers can enter information about
themselves that allows a search engine to cater to their individual
preferences.
“If I am searching for a place to go to dinner, it knows that I like
Indian food and it knows that I’m a vegetarian,” Sugumaran said. “And it
knows that I don’t want to drive 100 miles. So I don’t have to type those
things in. Those kind of things could be added to the query very easily.”
Sugumaran’s approach is a 180-degree shift from normal strategic thinking
about search engine analysis. Most researchers type in queries and then try
to refine them based on the results.
“That’s usually what people do in traditional information retrieval. Here
the idea is: Let’s try to do the best job we can before we submit a query to
the search engine,'” said Sugumaran, who has a paper on the subject under
consideration by Information Systems Research, a top journal in the field.
People may not want to form deep and personal relationships with their
Web browsers, but if they’re looking for a more efficient way to navigate
the Internet, Sugumaran may be on to something.
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Sugumaran, V., Burton-Jones, A., and Storey, V.C. “A
Multi-Agent Prototype for Intelligent Query Processing on the Semantic Web,”
Proceedings of the 12th Annual Workshop on Information Technology and Systems
(WITS), Barcelona, Spain, Dec. 14-15, 2002.
A Heuristic-Based Methodology for Semantic Augmentation of User Queries on
the Web*
Andrew Burton-Jones1, Veda C. Storey1, Vijayan Sugumaran2, and Sandeep Purao3
1J. Mack Robinson College of Business, Georgia State University,
Atlanta, GA
30302
{vstorey,abjones)@gsu.edu
2School of Business Administration, Oakland University,
Rochester, MI 48309
sugumara@oakland.edu
3School of
Information Sciences & Technology, The Pennsylvania State University,
University
Park, PA 16801-3857
spurao@ist.psu.edu
*This research was partially supported by J. Mack Robinson College of
Business, Georgia
State University and Office of Research & Graduate Study, Oakland University.
Extracting Semantics with Lexical and
Ontological Knowledge Sources: A Methodology for Context-Aware Information
Retrieval from the World Wide Web
Veda C. Storey
Computer Information Systems Department
J. Mack Robinson College of Business
Georgia State University
Email: vstorey@cis.gsu.edu
Andrew Burton–Jones
Computer Information Systems Department
J. Mack Robinson College of Business
Georgia State University
Email: abjones@cis.gsu.edu
Vijayan Sugumaran
Department of Decision & Information Sciences
School of Business Administration
Oakland University
Email: sugumara@oakland.edu
Sandeep Purao
School of Information Sciences & Technology
Pennsylvania State University
The Role of User Profiles in Context-Aware Query Processing for the Semantic Web
Veda C. Storey1, Vijayan Sugumaran2, and Andrew
Burton-Jones1
1 J. Mack Robinson College of Business
Georgia State University, Box 4015
Atlanta, GA 30302
{vstorey, abjones}@gsu.edu
2 School of Business Administration
Oakland University
Rochester, MI 48309
sugumara@oakland.edu
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