Abstract
dc:description.abstractThe overall goal of the project being developed at KU as a part of SEEK is to provide an interface tool for a taxonomist through which he/she can obtain taxonomic revisions depending for the species provided to the system. This thesis, in particular, aims to develop a subsystem that collects taxonomic documents available on the World Wide Web using a combination of spidering and document classification techniques. To increase the number of documents collected, two query expansion techniques have been considered and evaluated. We found that generic query expansion performed better than the taxonomically expanded queries. Also, we show that filtering helps improve the performance of the system by reducing the number of non-taxonomic documents that are presented to the end-user.
Degree
thesis:*- Grantor dc:publisher
- University of Kansas
- Year dc:date.issued
- 2007
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kotcherlakota, Krishna Priya
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1808/32038
- OAI identifier oai:identifier
- oai:kuscholarworks.ku.edu:1808/32038