Context-Aware Fuzzy Databases

Cadenas, José Tomás; Marín, Nicolás; Vila, M. A.

doi:10.1016/j.asoc.2014.09.020

Cited by 17 publications

(8 citation statements)

References 27 publications

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“…In previous work [9], we show examples using the SQL:99 standard of how the user can define semantics of linguistic labels with trapezoidal membership functions. In the present work the user interacts with the system through user-friendly applications where the use of SQL:99 is transparent for her/him.…”

Section: Description Of the Applicationmentioning

confidence: 99%

“…We analyze 143 attributes of JPE and we categorize them by fuzzy domains [9] or traditional (crisp) domain. There are attributes such as weight and height that are fuzzy because they are exactly measured in origin but may be fuzzy on queries.…”

Section: Context-aware Fuzzy Database Web Applicationmentioning

confidence: 99%

“…Moreover, there are case where value attributes are crisp but fuzzy on queries (for example height and weight). The managing of these fuzzy domains in the backend is defined in [9].…”

Section: Context-aware Fuzzy Database Web Applicationmentioning

confidence: 99%

“…To attain this, we make use of the framework presented in [9]. The application implements contextual dimensions and lets the user define context dependencies in a friendly way.…”

Section: Introductionmentioning

confidence: 99%

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Context-Aware Fuzzy Databases: An application

Cadenas¹,

Marín²,

Vila³

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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The way human beings communicate is contextdependent and it is not easily reproduced on traditional computer systems. We propose combined advances in Context-aware Computing and Fuzzy Databases with the aim of producing more intelligent, flexible and personalized systems. We focus on the interaction of users with a Database System where contextual data could affect the output. We present a development of an application for the Venezuelan Children's Orthopedic Hospital. The data for lower limb joints may be imperfect or fuzzy on database queries. We have developed a web application with an interface for mobile devices with Android operating systems.

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Section: Description Of the Applicationmentioning

confidence: 99%

Section: Context-aware Fuzzy Database Web Applicationmentioning

confidence: 99%

“…Moreover, there are case where value attributes are crisp but fuzzy on queries (for example height and weight). The managing of these fuzzy domains in the backend is defined in [9].…”

Section: Context-aware Fuzzy Database Web Applicationmentioning

confidence: 99%

“…To attain this, we make use of the framework presented in [9]. The application implements contextual dimensions and lets the user define context dependencies in a friendly way.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Context-Aware Fuzzy Databases: An application

Cadenas¹,

Marín²,

Vila³

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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show abstract

“…Thus, in addition to the problem of modelling the semantics of fuzzy concepts with respect to their correspondence with properties of objects [14,15], referring expressions using fuzzy concepts may also match objects in the scene to a certain extent, and this extent has to be calculated, introducing an additional complexity in the reg problem. In particular, distinguishability of an object with respect to others in terms of a referring expression involving fuzzy concepts turns out to be a matter of degree.…”

Section: Introductionmentioning

confidence: 99%

The Role of Graduality for Referring Expression Generation in Visual Scenes

Gatt

Marín

Portet

et al. 2016

Communications in Computer and Information Science

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Abstract. Referring Expression Generation (reg) algorithms, a core component of systems that generate text from non-linguistic data, seek to identify domain objects using natural language descriptions. While reg has often been applied to visual domains, very few approaches deal with the problem of fuzziness and gradation. This paper discusses these problems and how they can be accommodated to achieve a more realistic view of the task of referring to objects in visual scenes.

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