cmemc is intended for system administrators and Linked Data Expert, who wants to automate and remote control activities on eccenca Corporate Memory.


Main features of cmemc include:

  • Create, delete and inspect datasets, as well as upload and download dataset file resources.
  • Import, export, delete or open Knowledge Graphs.
  • Import, export, create or delete projects.
  • Execute or open local and remote SPARQL queries.
  • Install, uninstall and open vocabularies.
  • Execute (with or without payload), open or inspect workflows.
  • Import bootstrap data, create showcase data, get health information.
  • Import or export the workspace.

In order to start working with cmemc, follow one of the installation options.

The following pages provide documentation for specific cmemc related topics:

Installation

Configuration

Usage

  • Page:
    Command Reference — This document lists the help texts of all commands as a reference and to search for it.
  • Page:
    Command-line completion — In case you are using bash or zsh as your shell, you can optionally enable Command-line or tab completion for cmemc.
  • Page:
    SPARQL Scripts — By prepending a Shebang line to a SPARQL query file and making this file executable, the query file can be treated as an executable script.
  • Page:
    Troubleshooting and Caveats — This page lists and documents possible issues and warnings when working with cmemc.
  • Page:
    Using the docker image — In addition to the stand-alone cmemc binaries from the distribution package, the pypi or the brew based installation, you can use the eccenca cmemc docker image which is based on the official debian slim image. This is especially needed when you want to use cmemc in orchestrations.
  • Page:
    Workflow execution and orchestration — In some cases, you need to automate a complete graph of integration workflows which depend on each other and can sometimes run in parallel or after each other.