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

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

doi:10.1007/978-3-642-04757-2_50

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

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

Universidad de Salamanca

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All
Subtitle of host publication	Second World Summit on the Knowledge Society, WSKS 2009, Chania, Crete, Greece, September 16-18, 2009
Editors	Miltiadis D. Lytras, Patricia Ordonez de Pablos, Ernesto Damiani, David Avison, Ambjorn Naeve, David Homer
Pages	466-473
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-642-04757-2_50
State	Published - 2009
Externally published	Yes

Publication series

Name	Communications in Computer and Information Science
Volume	49
ISSN (Print)	1865-0929

Keywords

Data structure modeling
Middleware framework
Visual analytics

Access to Document

10.1007/978-3-642-04757-2_50

Cite this

Garcia, J., Gomez, D. A., Gonzalez, A., Garcia, F. J., & Theron, R. (2009). A middleware framework to create and manage data structures for visual analytics. In M. D. Lytras, P. Ordonez de Pablos, E. Damiani, D. Avison, A. Naeve, & D. Homer (Eds.), Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All: Second World Summit on the Knowledge Society, WSKS 2009, Chania, Crete, Greece, September 16-18, 2009 (pp. 466-473). (Communications in Computer and Information Science; Vol. 49). https://doi.org/10.1007/978-3-642-04757-2_50

Garcia, Juan ; Gomez, Diego A. ; Gonzalez, Antonio et al. / A middleware framework to create and manage data structures for visual analytics. Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All: Second World Summit on the Knowledge Society, WSKS 2009, Chania, Crete, Greece, September 16-18, 2009. editor / Miltiadis D. Lytras ; Patricia Ordonez de Pablos ; Ernesto Damiani ; David Avison ; Ambjorn Naeve ; David Homer. 2009. pp. 466-473 (Communications in Computer and Information Science).

@inproceedings{e1095b9b21cc41c4aba30265b27e76f1,

title = "A middleware framework to create and manage data structures for visual analytics",

abstract = "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.",

keywords = "Data structure modeling, Middleware framework, Visual analytics",

author = "Juan Garcia and Gomez, \{Diego A.\} and Antonio Gonzalez and Garcia, \{Francisco J.\} and Roberto Theron",

year = "2009",

doi = "10.1007/978-3-642-04757-2\_50",

language = "Ingl{\'e}s",

isbn = "9783642047565",

series = "Communications in Computer and Information Science",

pages = "466--473",

editor = "Lytras, \{Miltiadis D.\} and \{Ordonez de Pablos\}, Patricia and Ernesto Damiani and David Avison and Ambjorn Naeve and David Homer",

booktitle = "Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All",

}

Garcia, J, Gomez, DA, Gonzalez, A, Garcia, FJ & Theron, R 2009, A middleware framework to create and manage data structures for visual analytics. in MD Lytras, P Ordonez de Pablos, E Damiani, D Avison, A Naeve & D Homer (eds), Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All: Second World Summit on the Knowledge Society, WSKS 2009, Chania, Crete, Greece, September 16-18, 2009. Communications in Computer and Information Science, vol. 49, pp. 466-473. https://doi.org/10.1007/978-3-642-04757-2_50

A middleware framework to create and manage data structures for visual analytics. / Garcia, Juan; Gomez, Diego A.; Gonzalez, Antonio et al.
Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All: Second World Summit on the Knowledge Society, WSKS 2009, Chania, Crete, Greece, September 16-18, 2009. ed. / Miltiadis D. Lytras; Patricia Ordonez de Pablos; Ernesto Damiani; David Avison; Ambjorn Naeve; David Homer. 2009. p. 466-473 (Communications in Computer and Information Science; Vol. 49).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A middleware framework to create and manage data structures for visual analytics

AU - Garcia, Juan

AU - Gomez, Diego A.

AU - Gonzalez, Antonio

AU - Garcia, Francisco J.

AU - Theron, Roberto

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Data structure modeling

KW - Middleware framework

KW - Visual analytics

UR - https://www.scopus.com/pages/publications/70350064463

U2 - 10.1007/978-3-642-04757-2_50

DO - 10.1007/978-3-642-04757-2_50

M3 - Contribución a la conferencia

AN - SCOPUS:70350064463

SN - 9783642047565

T3 - Communications in Computer and Information Science

SP - 466

EP - 473

BT - Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All

A2 - Lytras, Miltiadis D.

A2 - Ordonez de Pablos, Patricia

A2 - Damiani, Ernesto

A2 - Avison, David

A2 - Naeve, Ambjorn

A2 - Homer, David

ER -

Garcia J, Gomez DA, Gonzalez A, Garcia FJ, Theron R. A middleware framework to create and manage data structures for visual analytics. In Lytras MD, Ordonez de Pablos P, Damiani E, Avison D, Naeve A, Homer D, editors, Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All: Second World Summit on the Knowledge Society, WSKS 2009, Chania, Crete, Greece, September 16-18, 2009. 2009. p. 466-473. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-04757-2_50

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

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this