Databus Gitbook
Databus
Databus
  • Overview
  • Guides
    • Data Publishing
    • Data Download
  • Use Cases
    • Data Version Control
    • Populating Database with Data
    • Data Quality Control
    • Data Crawling
    • Automated Deployment
    • Building Data Repositories
  • Organising Your Data (Model)
    • How to Organise Your Data
    • URI Design
    • Versioning
    • Metadata
      • Group
      • Artifact
      • Version
      • Distribution
      • Collection
    • Content Variants
    • Persistence (HowTo)
  • Usage
    • Quickstart Examples (Publish, Download)
    • Web Interface
      • Publish
      • Collections
      • Auto-Completion
    • API
    • Databus Mods
    • Databus Client
    • Integration with CI (Jenkins)
  • Running Your Own Databus Server
    • Run with Docker
    • Configuration
    • HTTPS & Proxy Setup
  • Development Environment
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  1. Usage

Databus Client

DBpedia Databus Client is a tool that downloads data from DBpedia Databus using SPARQL and makes it data fit for your applications. It simplifies data consumption and compilation from the DBpedia Databus, addressing challenges in using data from different publishers and domains. In addition to just downloading data from any databus, it can convert the data into different formats to suit the needs of your software projects. For further information check the documentation.

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Last updated 1 year ago