A graphical data manipulation language for an extended entity-relationship model

Czejdo, Bogdan D.; Elmasri, Ramez; Rusinkiewicz, Marek; Embley, David W.

doi:10.1109/2.50270

Cited by 100 publications

(23 citation statements)

References 20 publications

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“…The language of Czejdo et al [12] emphasizes operations to edit an E-R diagram (and its displayed attribute names) to form a query. Conditions appear next to attributes.…”

Section: Introductionmentioning

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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“…The language of Czejdo et al [12] emphasizes operations to edit an E-R diagram (and its displayed attribute names) to form a query. Conditions appear next to attributes.…”

Section: Introductionmentioning

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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“…Basic principles and a survey of such efforts can be found in C!atarci [1992] and Batini et al [1992] respectively. Most graphical interfaces are based on intensional data models, typically the entity-relationship model [Angelaccio et al 1990;Kuntz and Melchert 1989;Wong and Kuo 1982] or the extended entity-relationship model [Auddino et al 1991;Czejdo et al 1990]. ISIS [Goldman et al 1985] and its extension ISIS-V [Davison and Zdonik 1986] provide a visual interface to the semantic data model SDM [Hull and King 1987].…”

Section: Lucarella and A Zanzimentioning

confidence: 99%

A visual retrieval environment for hypermedia information systems

Lucarella

Zanzi

1996

ACM Trans. Inf. Syst.

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We present a graph-based object model that may be used as a uniform framework for direct manipulation of multimedia information. After an introduction motivating tbe need for abstraction and structuring mechanisms in hypermedia systems, we introduce the data model and the notion of perspective, a form of data abstraction that acts as a user interface to the system, providing control over the visibility of the objects and their properties. A perspective is defined to include an intension and an extension, The intension is defined in terms of a pattern, a subgraph of the schema graph, and the extension is the set of pattern-matching instances. Perspectives, as well as database schema and instances, are graph structures that can be manipulated in various ways. The resulting uniform approach is well suited to a visual interface. A visual interface for complex information systems provides high semantic power, thus exploiting the semantic expressibility of the underlying data model, while maintaining ease of interaction with the system. In this way, we reach the goal of decreasing cognitive load on the user, with the additional advantage of always maintaining the same interaction style, We present a visual retrieval environment that effectively combines filtering, browsing, and navigation to provide an integrated view of the retrieval problem. Design and implementation issues are outlined for MORE (.Multimedia Object Retrieval Environment), a prototype system relying on tbe proposed model, The focus is on the main user interface functionalities, and actual interaction sessions are presented including schema creation, information loading, and information retrieval.

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“…procedural constructs (e.g. : Czejdo (1990), Angelaccio (1990) ). For adding expressive power, we intend to go another way and to generalize the restricted view concept of the language such that complex object types can be specified by an extended form of nested queries.…”

Section: Final Remarksmentioning

confidence: 99%

“…On the other side there are 'descriptive' query systems and proposals of 'descriptive' query languages which allow to specify queries more or less completely as annotated graphs derived from schema diagrams (e.g. : Bryce (1986), Kim (1988), Czejdo (1990), Lam (1990), Mohan (1993)). Grouped between these two classes of query interfaces there are facilities where queries are formulated as a combination of some portion of the schema diagram (eventually with modifications) and text at different locations of the screen (e.g.…”

Section: Introductionmentioning

confidence: 99%

NQS — a graphical query system for data models with binary relationship types

Klein

Kramer

1995

Visual Database Systems 3

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A graphical query system for data models with binary relationship types is described in which queries can be formulated as annotated graphs. The concepts of the underlying descriptive query language allow to represent even complex queries in a graphical form that is easy to understand. Identifiers with local scope and the possibility to build queries in a step by step manner help to avoid problems sometimes mentioned in connection with the formulation of complex queries in descriptive query languages. Query formulation is supported by comfortable operations on graphs and by an efficient layout algorithm.

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A graphical data manipulation language for an extended entity-relationship model

Cited by 100 publications

References 20 publications

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

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

A visual retrieval environment for hypermedia information systems

NQS — a graphical query system for data models with binary relationship types

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