Visual access to graph content using magic lenses and filtering

Autor:	Jakub Ukrop, Peter Kapec, Zuzana Číková
Rok vydání:	2012
Předmět:	Comprehension Theoretical computer science Graph database Graph drawing Computer science Magic lens Query language Graph operations computer.software_genre Visual clutter computer Graph MathematicsofComputing_DISCRETEMATHEMATICS
Zdroj:	SCCG
DOI:	10.1145/2448531.2448534
Popis:	Graph visualization is a large and still evolving problem area in which new approaches appear. Graphs are often used to represent information that contains relations among data. Visual presentation of graphs aims at better graphs comprehension, however one problem in graph visualization is still present: how to effectively access the information stored in nodes and/or edges of graph. In this paper, we present our approach for visual accessing of graph content by using visual nodes. We also present how a hyper-graph based query language can be used in conjunction with magic lenses to lower visual clutter.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f847428b0f88e3ee6687b6e7709c9c1a https://doi.org/10.1145/2448531.2448534 Zobrazit plný text záznamu