Abstract
The paper presents a hybrid technique for the classification of web returned hits into concept hierarchies. The technique involves a combination of manual and automatic classifiers. At first, all web returned documents are assigned to human defined categories using manual classifiers, and then automatic classifiers are used to generate a concept hierarchy for each of these categories. The results of the evaluation reveal the following: (a) for polysemous queries, our system is able to generate meaningful categories corresponding to (but not limited to), the different semantic facets of the queries; (b) as expected, for non-polysemous queries the system generates fewer categories; (c) the hierarchy precision of the concept hierarchies generated for polysemous queries is found to be significantly better when compared to the one obtained using a baseline system.
Original language | English (US) |
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Title of host publication | International Conferen ON Information Technology |
Subtitle of host publication | Coding Computing, ITCC 2004 |
Editors | P.K. Srimani, A. Abraham, M. Cannataro, J. Domingo-Ferrer, R. Hashemi |
Pages | 326-330 |
Number of pages | 5 |
Volume | 1 |
DOIs | |
State | Published - Jul 7 2004 |
Event | International Conference on Information Technology: Coding Computing, ITCC 2004 - Las Vegas, NV, United States Duration: Apr 5 2004 → Apr 7 2004 |
Other
Other | International Conference on Information Technology: Coding Computing, ITCC 2004 |
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Country/Territory | United States |
City | Las Vegas, NV |
Period | 4/5/04 → 4/7/04 |
All Science Journal Classification (ASJC) codes
- Engineering(all)