DocumentCode
2977208
Title
A survey in traditional information retrieval models
Author
Dong, Hai ; Hussain, Farookh Khadeer ; Chang, Elizabeth
Author_Institution
DEBII, Curtin Univ. of Technol., Perth, WA
fYear
2008
fDate
26-29 Feb. 2008
Firstpage
397
Lastpage
402
Abstract
As a matter of fact, many so-called semantic search algorithms are derived from the traditional index-term-based search models. In this paper, we survey the traditional information retrieval models by categorizing them into three main classes and eleven subclasses, and analyse their benefits and issues of them.
Keywords
classification; information retrieval; categorization; semantic search algorithm; traditional index-term-based search model; traditional information retrieval model; Australia; Boolean algebra; Ecosystems; Electronic mail; Frequency; Fuzzy reasoning; Fuzzy sets; Information analysis; Information retrieval; Space technology; Boolean models; algebraic models; index-term based information retrieval models; probabilistic models;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on
Conference_Location
Phitsanulok
Print_ISBN
978-1-4244-1489-5
Electronic_ISBN
978-1-4244-1490-1
Type
conf
DOI
10.1109/DEST.2008.4635214
Filename
4635214
Link To Document