ERASER - OpenLicht Knowledge Base

Overview

There are the following subprojects in this repository:

• Base
  • eraser-base: The core part of the framework containing the grammar, various attributes, the parser for model specification files, and Java classes for the openHAB communication via MQTT
• Utility
  • commons.color: Utilities for converting color spaces (XYZ, RGB, HSB)
  • eraser.rest and eraser.spark: REST-API to communicate with the framework
  • eraser.starter: The main entry point to start the application
  • feedbackloop.*: Component specification and implementation of the MAPE-K feedback loop
  • project-template: Template to quickly create new subprojects used by make-new-project.py
• Demos
  • integration and openhab-mock: Playground projects testing some features
  • skywriter-hue-integration: The first real demonstrator integrating the Skywriter gesture recogintion with a Hue using a simple rule
  • benchmark: Small benchmark to replay previously recoreded sensor events
• Machine Learning Integration (deprecated)
  • org.openhab.action.machinelearn: openHAB connector of the Machine Learning Part
  • org.openlicht.action.reinforcementlearning: Reinforcement-Learning of preferences
  • stub.org.openhab.core.scriptengine.action: Stub to make the other two projects build

Setup and Building

This project uses Gradle as the build tool. For detailed information, see setup guidelines

Trivia

The name Eraser is a small pun on the term eRACR, which is an extension of RACR for event recognition. It was chosen to ease the search for a good repository image as it is based on a film.