Merging thesauri: principles and evaluation

Author

Mili, Hafedh ; Rada, Roy

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA

Volume

10

Issue

2

fYear

1988

fDate

3/1/1988 12:00:00 AM

Firstpage

204

Lastpage

220

Abstract

An investigation is reported of ways to take advantage of the semantics in thesauri to improve: (1) indexing by providing descriptions of documents as sets of terms from the thesaurus; and (2) retrieval by assessing the relevance of documents to a query. Thesauri need to be updated to account for the evolution of the field they cover. Accordingly, various augmentation algorithms and methods to assess the usefulness of these augmentations are being studied. The augmentations consist of merging two existing thesauri. By keeping a consistent level of complexity among the structure manipulated by the merging algorithm, the reasoning method, and the evaluation procedure, an improvement of the performance of the merged thesaurus on both document indexing and retrieval is demonstrated

Keywords

artificial intelligence; information retrieval; thesauri; augmentation algorithms; document indexing; information retrieval; merged thesaurus; reasoning method; semantics; Artificial intelligence; Databases; Indexing; Information retrieval; Learning systems; Libraries; Machine learning algorithms; Merging; Testing; Thesauri;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.3883

Filename

3883