An overview of GOOD

Paredaens, Jan; Bussche, Jan Van den; Andries, Marc; Gemis, Marc; Gyssens, Marc; Thyssens, Inge; Gucht, Dirk Van; Sarathy, Vijay; Saxton, Lawrence V.

doi:10.1145/130868.130872

Cited by 31 publications

(15 citation statements)

References 3 publications

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“…Graphlog [12] is a direct descendant of G+. A uniform notation for object databases where nodes represent objects and edges represent relationships was used in Good [17]. A Good-like notation was used by G-Log [18], a logic-based graphical language that allows one to represent and query complex objects by means of directed labeled graphs.…”

Section: Related Workmentioning

confidence: 99%

ActiveXQBE: A Visual Paradigm for Triggers over XML Data

Braga

Campi

Martinenghi

et al. 2006

Current Trends in Database Technology – EDBT 2006

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Abstract. While XQuery is becoming a standard, the W3C is currently discussing the features of an update language for XML, and its requirements. Therefore, time is ripe for designing and defining the language features and extensions that are usually needed when updates are supported: reaction policies to constraint violations, business rules, and more. In the past years, several languages have been proposed for updates as well as for triggers in XML, such as XUpdate and Active XQuery.In this paper, we propose a visual approach to the formulation of active rules building on XQBE, a graphical query language for XML data. Our approach is motivated by the need to provide unskilled users with the ability to express business rules in an intuitive fashion. Visual triggers are then translated into statements that can be interpreted by query engines.

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Section: Related Workmentioning

confidence: 99%

ActiveXQBE: A Visual Paradigm for Triggers over XML Data

Braga

Campi

Martinenghi

et al. 2006

Current Trends in Database Technology – EDBT 2006

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show abstract

“…Graphlog [13] is a direct descendant of G+. A uniform notation for object databases where nodes represent objects and edges represent relationships was used in Good [24]. A Good-like notation was used by G-Log [25], a logic-based graphical language that allows to represent and query complex objects by means of directed labeled graphs.…”

Section: Related Workmentioning

confidence: 99%

XQBE: A Graphical Environment to Query XML Data

Braga

Campi

2005

World Wide Web

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XQuery, the standard query language for XML, is increasingly popular among computer scientists with SQL background, since XQuery and SQL require comparable skills. However, these experts are limited in number, and the availability of easier XQuery "dialects" could be extremely valuable. With this motivation in mind, we designed XQBE, a visual dialect of XQuery inspired by the QBE language (Query by Example). Coherent with the hierarchical nature of XML, XQBE uses one or more hierarchical structures to denote the input documents and one structure to denote the document produced in output. These structures are annotated to express selection predicates; explicit binding edges connecting the nodes of these structures visualize the input/output mappings. This paper presents XQBE through several examples and describes the main features of our implementation of the language, a visual editor coupled with an XQBE-to-XQuery translator. Indeed, the XQBE front-end is a general purpose user-friendly visual query interface, capable of providing access to any data storage system that exposes XQuery APIs. Available schema information can be exploited to guide users in querying data sets they are not familiar with. Also, switching between the visual and textual versions of the same query could be helpful for XQuery learners.

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“…Forms, which lay out information using a template that indicates structure, such as (King and Novak, 1987) and most commercial database systems. Diagrammatic presentations, such as E-R-like Diagrams (Angelaccio, Catarci, and Santucci, 1990Elmasri and Larson, 1985Leong, Sam, and Narasimhalu, 1989Miura, 1991Siau, Chan, and Tan, 1991Wong and Kou, 1982 and other directed and non-directed graphs (Bryce and Hull, 1986Consens and Mendelzon, 1990Creasy, 1989Gupta, Weymouth, and Jain, 1991King and Melville, 1984Lam, et al, 1990Paredaens and Van den Bussche, 1992Batini, et. al., 1991Yoon, et al, 1987.…”

Section: Dbms Guismentioning

confidence: 99%

“…In some systems, schemas play a role beyond that in database design. Many DBMS GUIs also use the schema as a template for operations such as querying, browsing, data entry and display (e.g., GOOD (Paredaens and Van den Bussche, 1992), GORDAS (Elmasri and Larson, 1985), GUIDE (Wong and Kou, 1982), QBE (Zloof, 1975), QDB* (Angelaccio, Catarci, and Santucci, 1990), VILD (Leong, Sam, and Narasimhalu, 1989), and many others). Our own work focuses on scienti c databases and experiment management systems (in the context of the ZOO Experiment Management System Livny, 1992 Ioannidis, et al, 1993).…”

Section: Introductionmentioning

confidence: 99%

Foundations of visual metaphors for schema display

1994

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Abstract. Many aspects of database systems have been improved by Graphical User Interfaces (GUIs). One area that has not received adequate attention in GUI research is the visual presentation of schemas, despite the increasingly important role that schemas play in database design and operation. Schema visualizations are valuable for viewing and manipulating both the schema and the information captured by it. In this paper, we describe a framework that formalizes the process of visualizing database schemas or any similar structured information. It is based on the concepts of a data model capturing schemas, a visual model capturing visualizations, and a visual metaphor that de nes a mapping between the two models. This formal description of the mapping between a schema and its visualization permits straightforward declaration of visual metaphors, and provides criteria to evaluate metaphors as to their ability to correctly visualize a schema. Given a visual metaphor, the framework divides visual information into that which has meaning relative to the data model, that which has meaning to the user but not to the data model, and that which is only aesthetic. This separation permits better use of aesthetic information, resulting in richer visualizations. As a whole, we believe that the formalism provides the foundations on which better schema visualization tools can be built.

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An overview of GOOD

Cited by 31 publications

References 3 publications

ActiveXQBE: A Visual Paradigm for Triggers over XML Data

ActiveXQBE: A Visual Paradigm for Triggers over XML Data

XQBE: A Graphical Environment to Query XML Data

Foundations of visual metaphors for schema display

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