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
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;
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
DOI :
10.1109/DEST.2008.4635214
