QBD: a fully visual system for E-R oriented databases

M. Angelaccio, T. Catarci, G. Santucci
{"title":"QBD: a fully visual system for E-R oriented databases","authors":"M. Angelaccio, T. Catarci, G. Santucci","doi":"10.1109/WVL.1989.77042","DOIUrl":null,"url":null,"abstract":"The need of a friendly man-machine interaction is becoming crucial for a large variety of applications, in particular, those requiring frequent extraction of information from the database. Experience suggests that traditional query languages are not friendly enough for the casual user: she/he is requested to formulate queries in a textual language, without any iconic or spatial clues to help the querying process. A new generation of languages (visual languages) has been recently investigated, that attempts to make extensive use of the person's instincts and senses. The authors propose a fully visual system, called Query by Diagram (QBD), which is based on a conceptual data model, a query language defined on this model and a graphical user interface. The main characteristics of the interface are the ease of use, and the availability of a rich set of primitives for both schema selection and query formulation. Unlike many present proposals of graphical query systems, graphical operations are formally defined from both a syntactic and a semantic point of view.<<ETX>>","PeriodicalId":326582,"journal":{"name":"[Proceedings] 1989 IEEE Workshop on Visual Languages","volume":"422 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] 1989 IEEE Workshop on Visual Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WVL.1989.77042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

The need of a friendly man-machine interaction is becoming crucial for a large variety of applications, in particular, those requiring frequent extraction of information from the database. Experience suggests that traditional query languages are not friendly enough for the casual user: she/he is requested to formulate queries in a textual language, without any iconic or spatial clues to help the querying process. A new generation of languages (visual languages) has been recently investigated, that attempts to make extensive use of the person's instincts and senses. The authors propose a fully visual system, called Query by Diagram (QBD), which is based on a conceptual data model, a query language defined on this model and a graphical user interface. The main characteristics of the interface are the ease of use, and the availability of a rich set of primitives for both schema selection and query formulation. Unlike many present proposals of graphical query systems, graphical operations are formally defined from both a syntactic and a semantic point of view.<>
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
QBD:面向E-R数据库的完全可视化系统
对于各种各样的应用程序,特别是那些需要经常从数据库中提取信息的应用程序,友好的人机交互的需求正变得至关重要。经验表明,传统的查询语言对普通用户来说不够友好:他/她被要求用文本语言制定查询,没有任何符号或空间线索来帮助查询过程。最近研究了新一代的语言(视觉语言),它试图广泛利用人的本能和感官。作者提出了一个基于概念数据模型、在此模型上定义的查询语言和图形用户界面的全可视化系统,称为图查询(QBD)。该接口的主要特点是易于使用,并且为模式选择和查询公式提供了一组丰富的原语。与目前许多图形查询系统的建议不同,图形操作是从语法和语义的角度正式定义的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
QBD: a fully visual system for E-R oriented databases IconicBrowser: an iconic retrieval system for object-oriented databases An intelligent iconic system to generate and to interpret visual languages Iconic queries on pictorial data Techniques for the formal definition of the G-LOTOS syntax
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1