eLinda: Explorer for Linked Data

TL;DR

eLinda is a tool designed to facilitate understanding of complex RDF graphs by visualizing class, property, and object distributions through interactive exploration paths, making Linked Data more accessible.

Contribution

It introduces an interactive exploration method with visual histograms for RDF graphs, simplifying the understanding of rich Linked Data content.

Findings

Enables intuitive exploration of RDF graphs via histograms.

Supports subclass, property, and object distribution analysis.

Reduces time and expertise needed to interpret Linked Data.

Abstract

To realize the premise of the Semantic Web towards knowledgeable machines, one might often integrate an application with emerging RDF graphs. Nevertheless, capturing the content of a rich and open RDF graph by existing tools requires both time and expertise. We demonstrate eLinda - an explorer for Linked Data. The challenge addressed by eLinda is that of understanding the rich content of a given RDF graph. The core functionality is an exploration path, where each step produces a bar chart (histogram) that visualizes the distribution of classes in a set of nodes (URIs). In turn, each bar represents a set of nodes that can be further expanded through the bar chart in the path. We allow three types of explorations: subclass distribution, property distribution, and object distribution for a property of choice.