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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Indexing by Conditional Association Semantics

Indexing by Conditional Association Semantics
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Author(s): Xiaowei Yan (University of Technology, Sydney, Australia), Chengqi Zhang (University of Technology, Sydney, Australia), Shichao Zhang (University of Technology, Sydney, Australia)and Zhenxing Qin (University of Technology, Sydney, Australia)
Copyright: 2003
Pages: 3
Source title: Information Technology & Organizations: Trends, Issues, Challenges & Solutions
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-066-0.ch181
ISBN13: 9781616921248
EISBN13: 9781466665330


Prevailing information retrieval methods are based on either term similarity or latent semantics. Terms are considered independently. This paper presents a new strategy for information retrieval, i.e., indexing by conditional association semantics. In our approach, the conditional association semantics of terms will be considered during semantics indexing.

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