Automatically constructing multi-relationship fuzzy concept networks in fuzzy information retrieval systems

2005 ◽  
Author(s):  
Yih-Jen Horng ◽  
Shyi-Ming Chen ◽  
Chia-Hoang Lee
Keyword(s):  
Information Retrieval ◽  
Fuzzy Information ◽  
Fuzzy Concept ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Fuzzy Information Retrieval

A computer-supported learning system to help teachers to teach Fuzzy Information Retrieval Systems

2009 ◽  
Vol 12 (2) ◽  
pp. 179-200 ◽  
Author(s):  
E. Herrera-Viedma ◽  
A. G. López-Herrera ◽  
S. Alonso ◽  
J. M. Moreno ◽  
F. J. Cabrerizo ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Learning System ◽  
Fuzzy Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Fuzzy Information Retrieval

Fuzzy Information Retrieval Method Based on Fuzzy-Valued Concept Networks

2014 ◽  
Vol 530-531 ◽  
pp. 506-511
Author(s):  
Liu Yang Wang ◽  
Yang Xin Yu ◽  
Lei Zhou ◽  
Sheng Hua Jin
Keyword(s):  
Information Retrieval ◽  
Network Architecture ◽  
Fuzzy Inference ◽  
Positive Association ◽  
Relationship Matrix ◽  
Fuzzy Information ◽  
Retrieval Method ◽  
Information Retrieval Systems ◽  
Fuzzy Information Retrieval ◽  
Concept Network

In order to reduce the time of fuzzy inference, the relevant matrices and the relationship matrices are used to constitute the fuzzy-valued concept networks. The elements of a relevant matrix represent the relevant degrees between concepts. The elements of a relationship matrix represent the relevant relationships between concepts. Fuzzy positive association relationship or fuzzy negative association relationship are used for formulating users queries in order to increase the flexibility of fuzzy information retrieval systems. Expanding the fuzzy-valued concept network architecture to the Internet environment, we propose a fuzzy information retrieval method based on the network-type fuzzy-valued concept network and it can be relatively more effective information retrieval in the distributed network

Fuzzy information retrieval based on multi-relationship fuzzy concept networks

2003 ◽  
Vol 140 (1) ◽  
pp. 183-205 ◽  
Author(s):  
Shyi-Ming Chen ◽  
Yih-Jen Horng ◽  
Chia-Hoang Lee
Keyword(s):  
Information Retrieval ◽  
Fuzzy Information ◽  
Fuzzy Concept ◽  
Fuzzy Information Retrieval

Relevance Predictability in Information Retrieval Systems

1967 ◽  
Vol 06 (02) ◽  
pp. 45-51 ◽  
Author(s):  
A. Kent ◽  
J. Belzer ◽  
M. Kuhfeerst ◽  
E. D. Dym ◽  
D. L. Shirey ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Experimental Conditions ◽  
Treatment Groups ◽  
Retrieval Systems ◽  
Significant Difference ◽  
Information Retrieval Systems ◽  
High Predictability ◽  
Intermediate Response ◽  
Quantitative Indicators ◽  
Level Of Processing

An experiment is described which attempts to derive quantitative indicators regarding the potential relevance predictability of the intermediate stimuli used to represent documents in information retrieval systems. In effect, since the decision to peruse an entire document is often predicated upon the examination of one »level of processing« of the document (e.g., the citation and/or abstract), it became interesting to analyze the properties of what constitutes »relevance«. However, prior to such an analysis, an even more elementary step had to be made, namely, to determine what portions of a document should be examined.An evaluation of the ability of intermediate response products (IRPs), functioning as cues to the information content of full documents, to predict the relevance determination that would be subsequently made on these documents by motivated users of information retrieval systems, was made under controlled experimental conditions. The hypothesis that there might be other intermediate response products (selected extracts from the document, i.e., first paragraph, last paragraph, and the combination of first and last paragraph), that would be as representative of the full document as the traditional IRPs (citation and abstract) was tested systematically. The results showed that:1. there is no significant difference among the several IRP treatment groups on the number of cue evaluations of relevancy which match the subsequent user relevancy decision on the document;2. first and last paragraph combinations have consistently predicted relevancy to a higher degree than the other IRPs;3. abstracts were undistinguished as predictors; and4. the apparent high predictability rating for citations was not substantive.Some of these results are quite different than would be expected from previous work with unmotivated subjects.

Performance of eight information retrieval systems in the Spanish web

2005 ◽  
Vol 14 (5) ◽  
pp. 335-346
Author(s):  
Por Carlos Benito Amat ◽  
Por Carlos Benito Amat
Keyword(s):  
Information Retrieval ◽  
Retrieval Systems ◽  
Information Retrieval Systems
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