A middleware framework to create and manage data structures for visual analytics

Juan Garcia, Diego A. Gomez, Antonio Gonzalez, Francisco J. Garcia, Roberto Theron

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Visual Analytics require the use of large datasets and most of the time visualizations use their own data structures definition or make use of simple standards such as XML, CVS, or text files. Our proposal presents a middleware framework that focuses on providing a way to manage those data structures, allowing to access heterogeneous data sources. The framework allows defining data structures for different visualizations using the same dataset. It dynamically generates a visual interface that allows users to define data structures according to the specific visualization requirements. It also provides a repository to store data structures to reuse them in other visualizations or by means of inheritance, composition and associations. We have implemented a first prototype, which is discussed in the results presented on this paper.

Idioma originalInglés
Título de la publicación alojadaBest Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All
Subtítulo de la publicación alojadaSecond World Summit on the Knowledge Society, WSKS 2009, Chania, Crete, Greece, September 16-18, 2009
EditoresMiltiadis D. Lytras, Patricia Ordonez de Pablos, Ernesto Damiani, David Avison, Ambjorn Naeve, David Homer
Páginas466-473
Número de páginas8
DOI
EstadoPublicada - 2009
Publicado de forma externa

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen49
ISSN (versión impresa)1865-0929

Huella

Profundice en los temas de investigación de 'A middleware framework to create and manage data structures for visual analytics'. En conjunto forman una huella única.

Citar esto