Abstract
dc:description.abstractThis thesis reports on the effects of an automatic query expansion with a subject specific thesaurus on retrieval effectiveness for document collection consisting of OCR text; The investigation encompasses several experiments with a modern retrieval engine based on the probabilistic model. Each experiment is performed on two document collections. The first version of the collection consists of raw OCR output. The second collection consists of the ground truth (retyped from hard copy) version of the same collection; It is shown that the usage of the thesaurus as a source for query expansion can significantly improve recall for Boolean queries, for both OCR and manually corrected document collections. In the case of weighted queries, the expansion has no effect on the average precision and recall. Nevertheless, some individual queries benefit from query expansion.
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MS)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Computer Science
- Grantor dc:publisher
- University of Nevada, Las Vegas
- Year
- 1999
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Dimitrova, Elena
- Contributors dc:contributor
-
- Kazem Taghva
Rights
dc:rights- Statement dc:rights
-
- IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
- Language dc:language
- English
Identifiers
dc:identifier.*- Identifier
- https://oasis.library.unlv.edu/rtds/1097
- OAI identifier oai:identifier
- oai:oasis.library.unlv.edu:rtds-2096