From Semantic Web Standards
Jump to: navigation, search

rdf:SynopsViz :: A Tool for Scalable, Multilevel RDF Visualization, Exploration & Analysis

Name of the tool: A Tool for Scalable, Multilevel RDF Visualization, Exploration & Analysis
Home page: The rdf:SynopsViz framework
Date of latest release:
Programming language(s) that can be used with the tool: Java
Relevant semantic web technologies: RDF, RDFS, OWL, SPARQL
Categories: Visualizer, RDF or OWL Browser, Special Browser, Search Engine
See also:
Public mailing list:
Preferred project URI: http://synopsviz.imis.athena-innovation.gr
DOAP reference:
Company or institution: NTUA GR & IMIS - ATHENA R.C. GR

(Tool description last modified on 2015-01-29.)


rdf:SynopsViz is a tool for hierarchical charting and visual exploration of RDF & Linked Open Data. Hierarchical RDF exploration is based on the creation of multiple levels of hierarchically related groups of resources based on the values of one or more properties. The adopted hierarchical model provides effective information abstraction and summarization. Also, it allows efficient -on the fly- statistic computations, using aggregations over the hierarchy levels.

Key Features

  • It adopts a hierarchical model for RDF data visualization, browsing and analysis.
  • It offers automatic on-the-fly hierarchy construction based on data distribution, as well as user-defined hierarchy construction based on user's preferences.
  • Provides faceted browsing and filtering over classes and properties.
  • Integrates statistics with visualization; visualizations have been enriched with useful statistics and data information.
  • Offers several visualizations techniques (e.g., timeline, chart, treemap).
  • Provides a large number of dataset's statistics regarding the: data-level (e.g., number of sameAs triples), schema-level (e.g., most common classes/properties), and structure level (e.g., entities with the larger in-degree).
  • Provides numerous metadata related to the dataset: licensing, provenance, linking, availability, undesirability, etc. The latter are useful for assessing data quality.


Bikakis N., Skourla M., Papastefanatos G.: "rdf:SynopsViz - A Framework for Hierarchical Linked Data Visual Exploration and Analysis". 11th Extended Semantic Web Conference (ESWC '14).
Keywords: Visual analytics, Semantic Web, LOD, RDF visualization, Multiscale Visualization, Multiresolution Visualization, Data exploration, RDF Statistics, RDF Charts, Faceted search, RDF Facets.