Two-dimensional specification of universal quantification in a graphical database query language

Whang, Kyu-Young; Malhotra, Ashok; Sockut, Gary H.; Burns, Luanne; Choi, Kabdo

doi:10.1109/32.126770

Cited by 22 publications

(6 citation statements)

References 6 publications

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“…Another purpose is to show feasibility of implementation on relational systems; however, we do not require this particular mapping or even a relational system as GRAQULA's implementation. Earlier papers on universal quantification [33,34] describe the mapping more formally.…”

Section: Graqula's Entity-relationship Data Modelmentioning

confidence: 99%

GRAQULA: A graphical query language for entity-relationship or relational databases

Sockut

Burns²,

Malhotra³

et al. 1993

Data & Knowledge Engineering

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GRAQULA is a graphical language for querying and updating a database. One version of GRAQULA provides a user interface for the entity-relationship data model, and another version (with almost identical syntax) provides a user interface for the relational model. Each version is relationally complete, and each depicts relationships (or expected joins) graphically. GRAQULA provides logical operations (e.g. negation) on graphical objects; these operations have user-specified scopes, allow nesting, and can involve existential or universal quantification. Aggregates (e.g. average) also have user-specified scopes. Queries can invoke other queries, and users and queries can pass parameters to queries. The design reflects a specified set of goals, including expressive power, consistency, and limitation of required memorization.

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Section: Graqula's Entity-relationship Data Modelmentioning

confidence: 99%

GRAQULA: A graphical query language for entity-relationship or relational databases

Sockut

Burns²,

Malhotra³

et al. 1993

Data & Knowledge Engineering

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“…SPUCING :(=L:e~Onence Figure 1: A cartoon diagram with six selectab:te regions lem by third party users. For example, some researchers built graphical query interfaces based on the entityrelationship model (e.g., [1,3,4,8,10,11]). Others built graphical query interfaces based on the semantic model (e.g., [5]).…”

Section: Introductionmentioning

confidence: 99%

CBM

Shin¹,

Nori

2000

Proceedings of the Working Conference on Advanced Visual Interfaces

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A B S T R A C T This paper describes a novel visual query interface model, called Cartoon-Based Model (CBM), which aims at assisting novice database users to understand the content of a database with the views that they are mostly familiar with. CBM is different from previously proposed graphical query interfaces, many of which are based on semantic data models. CBM suggests a new dictum for building a next generation user-friendly database query interface: Visual query interfaces should be built based upon the "perception" (e.g., cartoon diagrams in our case) that the user would possess about the data content, not the artificially modeled view that a database designer would possess. A prototype has been constructed to demonstrate the soundness and feasibility of the proposed model.

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“…To our knowledge, they are no languages which propose a non-textual solution to the expression of universal quantification except the use of graphical conventions on Venn Diagrams (Schneider and Trepied, 1989) and of boxes (Whang and al., 1992).…”

Section: Comparisons Involving Setsmentioning

confidence: 99%

A metaphorical and visual language for querying an existing relational database

Belieres¹,

Trépied

1998

Data Mining and Reverse Engineering

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Metaphors have been proved useful in facilitating learning and using an operating system or various other tools. The purpose of this paper is to show through the VISTA language, the benefits of using metaphors for the reverse engineering of relational databases. VISTA is a visual query language associated with an objectoriented semantic data model. VISTA uses metaphors to represent the data model concepts and the language operators. It provides a meaningful query environment for end users. The user is set in a room and querying consists of direct and natural manipulations on objects of this room. We show how VISTA proposes a unified solution to problems such as set comparison and combination, explicit joins, quantification, graphic congestion while seeking at the same time easy query formulation. We also report our experience with an industrial example. KeywordsVisual query language, end user, metaphor, semantic visualization, object-oriented semantic data model, database reverse engineering, industrial application.

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Two-dimensional specification of universal quantification in a graphical database query language

Cited by 22 publications

References 6 publications

GRAQULA: A graphical query language for entity-relationship or relational databases

GRAQULA: A graphical query language for entity-relationship or relational databases

CBM

A metaphorical and visual language for querying an existing relational database

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