Two approximate operators for a data base query language: sounds-like and close-to

McClelland, E.B.; Trueblood, Robert P.; Eastman, Caroline M.

doi:10.1109/21.23087

Cited by 3 publications

(2 citation statements)

References 42 publications

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“…We note that a technique for matching two character string values by comparing their phonic sounds has been proposed [4], and this technique will be useful for evaluating similarities to English onomatopoeia.…”

Section: Retrieval By Onomatopoeiamentioning

confidence: 99%

Sound Retrieval with Intuitive Verbal Expressions

Wake¹,

Asahi²

1998

Electronic Workshops in Computing

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A sound retrieval method described in this paper enables users to easily obtain their desired sound. A sound representation experiment was conducted to study how people represent the sounds. Almost all representations were made with verbal descriptions that could be classified into "description of sound itself", "description of sounding situation" and "description of sound impression". The retrieval method, which adopts three keyword types, onomatopoeia, sound source, and adjective, was proposed based on the experimental results. The sound retrieval system's efficiency was discussed based on the subjective evaluation. Users can select a convenient retrieval method and adapt it to their idea of retrieval.

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Section: Retrieval By Onomatopoeiamentioning

confidence: 99%

Sound Retrieval with Intuitive Verbal Expressions

Wake¹,

Asahi²

1998

Electronic Workshops in Computing

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“…A second view of fuzziness in data bases relies on the notion of interchangeability or tolerance relations defined on attribute domains Petry, 1982, 1987 ;Cayrol et al, 1982 ;Potoczny, 1984 ;McClelland et al, 1988 ;Zemankova, 1989 ;Rundensteiner et al, 1989). For instance, this approach may be used to represent data issued from some measurement devices in order to represent the error on the measure.…”

Section: What 'Fuzzy Data Base' Means ?mentioning

confidence: 99%

An Introduction to the Fuzzy Set and Possibility Theory-Based Treatment of Flexible Queries and Uncertain or Imprecise Databases

Bosc

Prade

1997

Uncertainty Management in Information Systems

131

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In this paper, it is shown that fuzzy sets and possibility theory provide an homogeneous framework for the representation of both imprecise/uncertain information and soft queries with a flexible interpretation. Incompletely known information as well as flexible query handling capabilities are expected to extend the range of applications for future database management systems. The term fuzzy databases which is extensively used in the specialized literature covers several different meanings which are reviewed. A special emphasis is put on flexible queries addressed to regular databases. Such queries enables the user to easily express preferences among more or less admissible attribute values. Several approaches for introducing flexibility, including fuzzy sets, are compared. A query language based on SQL is outlined and some issues related to query processing are discussed. In addition, possibility theory proves to be useful for representing imperfectly known data and soft constraints. Pattern matching is extended for handling this kind of data, as well as flexible queries.

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