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Visual Query Languages, Representation Techniques, and Data Models

Visual Query Languages, Representation Techniques, and Data Models

Maria Chiara Caschera, Arianna D’Ulizia, Leonardo Tininini
Copyright: © 2009 |Pages: 28
ISBN13: 9781605660981|ISBN10: 1605660981|ISBN13 Softcover: 9781616926045|EISBN13: 9781605660998
DOI: 10.4018/978-1-60566-098-1.ch010
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MLA

Caschera, Maria Chiara, et al. "Visual Query Languages, Representation Techniques, and Data Models." Selected Readings on Database Technologies and Applications, edited by Terry Halpin, IGI Global, 2009, pp. 206-233. https://doi.org/10.4018/978-1-60566-098-1.ch010

APA

Caschera, M. C., D’Ulizia, A., & Tininini, L. (2009). Visual Query Languages, Representation Techniques, and Data Models. In T. Halpin (Ed.), Selected Readings on Database Technologies and Applications (pp. 206-233). IGI Global. https://doi.org/10.4018/978-1-60566-098-1.ch010

Chicago

Caschera, Maria Chiara, Arianna D’Ulizia, and Leonardo Tininini. "Visual Query Languages, Representation Techniques, and Data Models." In Selected Readings on Database Technologies and Applications, edited by Terry Halpin, 206-233. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-098-1.ch010

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Abstract

An easy, efficient, and effective way to retrieve stored data is obviously one of the key issues of any information system. In the last few years, considerable effort has been devoted to the definition of more intuitive, visual-based querying paradigms, attempting to offer a good trade-off between expressiveness and intuitiveness. In this chapter, we analyze the main characteristics of visual languages specifically designed for querying information systems, concentrating on conventional relational databases, but also considering information systems with a less rigid structure such as Web resources storing XML documents. We consider two fundamental aspects of visual query languages: the adopted visual representation technique and the underlying data model, possibly specialized to specific application contexts.

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