The video presentation "The G
Graphs are a very natural representation for data in many application domains, for example, transportation networks, project scheduling, parts hierarchies, family trees, concept hierarchies, and Hypertext. From a broader perspective, many databases can be naturally viewed as graphs. In particular, any relational database in which we can identify one or more sets of objects of interest and relationships between them can be represented by mapping these objects into nodes and relationships into edges. In the case of semantic and object-oriented databases, there is a natural mapping of objects to nodes and attributes to edges.
GraphLog is a visual query language, based on a graph representation of both data and queries, that has evolved from the earlier language G
The G
The first answer mode supported by the G
An alternative way of visualizing answers is by high-lighting on the database graph, one at a time, the paths (or just the nodes) described by the query. This mode is particularly useful to locate interesting starting points for browsing.
Rather than viewing the answers superimposed on the database graph, the user may choose to view them in a Graph Browser. The Graph Browser contains the set of subgraphs of the database graph that were found to satisfy the query.
Finally, the user may select to collect all the subgraphs of the database graph that satisfy the query together into one new graph. This graph (as well as any other result graph from any of the above mentioned answer modes) in turn may be queried, providing a mechanism for iterative filtering of irrelevant information until a manageable subgraph is obtained.
视频演示“ G 图形是许多应用程序域中数据的非常自然的表示形式,例如,运输网络,项目计划,零件层次结构,族树,概念层次结构和超文本。从更广泛的角度来看,许多数据库可以自然地视为图形。尤其是,可以在其中标识一组或多组感兴趣的对象以及它们之间的关系的任何关系数据库都可以通过将这些对象映射到节点,将关系映射到边来表示。对于语义数据库和面向对象的数据库,对象与节点之间存在自然映射,而属性与边缘之间存在自然映射。 P>
GraphLog是一种视觉查询语言,它基于数据和查询的图形表示形式,它是从早期的语言G G G 可视化答案的另一种方法是突出显示数据库图,一次突出显示查询描述的路径(或仅是节点)。此模式对于定位有趣的浏览起点特别有用。 P>
用户可以选择在图形浏览器中查看它们,而不是查看叠加在数据库图形上的答案。图浏览器包含已找到满足查询条件的数据库图子图集。 P>
最后,用户可以选择将满足查询条件的数据库图的所有子图收集到一个新图中。可以依次查询该图(以及来自任何上述回答模式的任何其他结果图),从而提供一种对无关信息进行迭代过滤的机制,直到获得可管理的子图为止。 P>
机译:通过本体投影和索引的可视化查询系统的查询扩展建议
机译::了解视觉查询系统中的感官
机译:OLAP系统中的数据多维数据集检索和设计:从查询分析到可视化工具
机译:估算GraphLog查询的成本
机译:分类和视觉查询界面的模糊性:具有自适应模糊功能的平台无关查询模型
机译:低延迟大型数据库系统和浏览器用于存储查询和可视化3D基因组数据
机译:G +产品配置文件查询工具的用户指南(G + PP)
机译:交互式信息存储与检索系统的自然语言查询系统设计。演示视觉。最终报告,1985年7月1日至1987年12月31日