Visual Query Systems for Databases: A Survey

Catarci, Tiziana; Costabile, Maria Francesca; Levialdi, S.; Batini, Carlo

doi:10.1006/jvlc.1997.0037

Cited by 261 publications

(232 citation statements)

References 100 publications

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“…The visualization of unstructured data, such as documents, webpages, and tags, is studied in several papers [14,17,13,15]. For structured data, Catarci et al [12] surveyed a large number of systems that visualize relational data. Visionary [39], Visage [35] and DEVise [27] display query results on a canvas and provide powerful visualization features such as zooming, panning and distortion.…”

Section: Related Workmentioning

confidence: 99%

Visualization of Heterogeneous Data

Cammarano

Dong

Chan

et al. 2007

IEEE Trans. Visual. Comput. Graphics

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Abstract-Both the Resource Description Framework (RDF), used in the semantic web, and Maya Viz u-forms represent data as a graph of objects connected by labeled edges. Existing systems for flexible visualization of this kind of data require manual specification of the possible visualization roles for each data attribute. When the schema is large and unfamiliar, this requirement inhibits exploratory visualization by requiring a costly up-front data integration step. To eliminate this step, we propose an automatic technique for mapping data attributes to visualization attributes. We formulate this as a schema matching problem, finding appropriate paths in the data model for each required visualization attribute in a visualization template.

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Section: Related Workmentioning

confidence: 99%

Visualization of Heterogeneous Data

Cammarano

Dong

Chan

et al. 2007

IEEE Trans. Visual. Comput. Graphics

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“…The evaluation criteria are expressiveness, i.e., the breadth of a system or language to characterise the domain knowledge and information need, and usability, i.e., in terms of effectiveness, efficiency, and usersatisfaction (cf. [3]). From the usability point of view, the selection of appropriate visual attributes (i.e., perceptual such as size, texture, and colour), representation paradigms (i.e., cognitive such as forms and diagrams) and interaction styles (e.g., navigation, range selection etc.…”

Section: Introductionmentioning

confidence: 99%

“…Early approaches (cf. [3]) successfully establish the fundamentals of research on visual query formulation. However, on the one hand, their success, in practical terms, remains within the confines of abstraction levels they operate on; database schemas, object-oriented models etc.…”

Section: Introductionmentioning

confidence: 99%

“…syntactic/semantic model of user behaviour [4]). In any case, there are basically two types of activities, namely exploration (aka understanding the reality of interest) and query construction [3], that have to be supported by a data access system. The goal of the former is to establish an understanding of the domain by means of finding and identifying domain constructs, such as concepts and relationships, and their organisation.…”

Section: Introductionmentioning

confidence: 99%

“…For this very reason, visual query systems and languages (cf. [3]) have emerged to alleviate the end-user data access problem by providing intuitive visual query formulation tools. A visual system or language follows the directmanipulation idea (cf.…”

Section: Introductionmentioning

confidence: 99%

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A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data

Soylu

Skjæveland

Giese

et al. 2013

Communications in Computer and Information Science

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Abstract. Data access in an enterprise setting is a determining factor for the potential of value creation processes such as sense-making, decision making, and intelligence analysis. As such, providing friendly data access tools that directly engage domain experts (i.e., end-users) with data, as opposed to the situations where database/IT experts are required to extract data from databases, could substantially increase competitiveness and profitability. However, the ever increasing volume, complexity, velocity, and variety of data, known as the Big Data phenomenon, renders the end-user data access problem even more challenging. Optique, an ongoing European project with a strong industrial perspective, aims to countervail the Big Data effect, and to enable scalable end-user data access to traditional relational databases by using an ontology-based approach. In this paper, we specifically present the preliminary design and development of our ontology-based visual query system and discuss directions for addressing the Big Data effect.

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Visual Programming

Ferrucci

Tortora

Vitiello

2002

Encyclopedia of Software Engineering

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The widely recognized value of icons, diagrams, and other graphical notations in human–computer interaction and human–human (interhuman) communication, and the decreasing cost of hardware technologies and graphics software have caused the development of a novel approach termed visual programming or graphical programming . Visual programming covers a wide variety of activities that make extensive use of icons and diagrams to convey information and to allow for multimodal communication and interaction between humans and computers. Indeed, in spite of the terminology adopted, “visual programming” does not denote merely the specification of visual programs but rather refers to the ability of using graphics as a communication means in any activity that involves human–computer interaction. Typical activities that benefit from the use of visual languages are generation of graphical user interfaces, database manipulation, supporting novice users in program comprehension, and program composition. Thus, a huge amount of visual programming languages have been introduced. Such languages allow a user to communicate with the system by spatially arranging visual objects on the screen, so as to compose a “visual sentence.” It is worth pointing out that despite their names, Visual Microsoft languages are not actually visual programming languages. Indeed, they are textual programming languages enhanced with a graphical user interface builder meant to support the programmer in the construction of the user interface portion of the program. These languages and there formal specifications are discussed. Also discussed is the implementation of systems that generate these measurements.

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Visual Query Systems for Databases: A Survey

Cited by 261 publications

References 100 publications

Visualization of Heterogeneous Data

Visualization of Heterogeneous Data

A Preliminary Approach on Ontology-Based Visual Query Formulation for Big Data

Visual Programming

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