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Published Articles >> Table of Contents >> Abstract
30th Hawaii International Conference on System Sciences (HICSS) Volume 4: Information Systems Track - Internet and the Digital Economy
p. 329
HyperSQL: Web-based Query Interfaces for Biological Databases
Mark Newsome, Department of Computer Science
Cherri Pancake, Department of Computer Science
Joe Hanus, Department of Botany and Plant Pathology
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.1997.663405
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HyperSQL is an interoperability layer that enables database administrators to rapidly construct browserbased query interfaces to remote Sybase databases. Current browsers (i.e., Netscape, Mosaic, Internet Explorer) do not easily interoperate with databases without extensive "CGI" (Common Gateway Interface) programming. HyperSQL can be used to create formsand hypertext-based database interfaces for non computer experts (e.g., scientists, business users). Such interfaces permit the user to query databases by filling out query forms selected from menus. No knowledge of SQL is required because the interface automatically composes SQL from user input. Database results are automatically formatted as graphics and hypertext, including clickable links which can issue additional queries for browsing through related data, bring up other Web pages, or access remote search engines. Query interfaces are constructed by inserting a small set of HyperSQL descriptors and HTML formatting into text files. No compilation is necessary because commands are interpreted and carried out by our special gateway, positioned between the remote databases and the Web browser. Feedback from developers who have used the initial release of HyperSQL has been encouraging. At present, query interfaces have been successfully implemented for three major NSF-sponsored biological databases: Microbial Germplasm Database, Mycological Types Collection, and Vascular Plants Types Collection.
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Citation:
Mark Newsome, Cherri Pancake, Joe Hanus,
"HyperSQL: Web-based Query Interfaces for Biological Databases,"
hicss,
p. 329,
30th Hawaii International Conference on System Sciences (HICSS) Volume 4: Information Systems Track - Internet and the Digital Economy,
1997
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