Information Retrieval Method for Highly Fuzzy Stored Data : A Case Study in Paintings Database

Isomoto, Yukuo; Nozaki, Hironari; Yoshine, Katsumi; Nagai, Hirohito

doi:10.3156/jfuzzy.8.2_284

Cited by 4 publications

(1 citation statement)

References 13 publications

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“…Furthermore, when specifying these physical quantities and spatial features as search conditions, it is assumed that it is impossible to give them in a limited manner, and a search based on fuzzy theory with a very, slightly, etc., language hedge should be used. This search based on fuzzy theory with language hedging has already been proposed by, for example, Isomoto [2], and is not new at all. And the search method must www.ijacsa.thesai.org be devised.…”

Section: Introductionmentioning

confidence: 99%

Earth Observation Satellite: Big Data Retrieval Method with Fuzzy Expression of Geophysical Parameters and Spatial Features

Arai

2023

IJACSA

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A method for fuzzy retrievals of Earth observation satellite image database using geophysical parameters and spatial features is proposed. It is confirmed that the proposed method allows fuzzy expressions of queries with sea surface temperature, chlorophyll-a concentration and cloud coverage as well as circle, line and edge, for instance "rather cold sea surface temperature and a sort of circle feature". Thus users, in particular, oceanographers may access the most appropriate image data from the database for finding of cold cores (circle features), fronts (arc and line features), etc. in a simple manner. Although this is just an example for oceanographers, it is found that the proposed method allows data mining with fuzzy expressions of geophysical queries from the big data platforms of the earth observation satellite database.

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Section: Introductionmentioning

confidence: 99%