Artificial Intelligence Lab, Department of MIS, University of Arizona / As the Web has been growing exponentially, it has become increasingly difficult to search for desired information. In recent years, many domain-specific (vertical) search tools have been developed to serve the information needs of specific fields. This paper describes two approaches to building a domain-specific search tool. We report our experience in building two different tools in the nanotechnology domain - (1) a server-side search engine, and (2) a client-side search agent. The designs of the two search systems are presented and discussed, and their strengths and weaknesses are compared. Some future research directions are also discussed.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105990 |
| Date | January 2002 |
| Creators | Chau, Michael, Chen, Hsinchun, Qin, Jailun, Zhou, Yilu, Qin, Yi, Sung, Wai-Ki, McDonald, Daniel M. |
| Publisher | ACM/IEEE-CS |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Conference Paper |
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