Hybrid Intelligence KE Repository

This repository contains material for the work on "Knowledge Engineering for Hybrid Intelligence": ontologies, scenarios, task descriptions, etc.

Domain Layer

• This visualisation shows the various knowledge roles for Hybrid Intelligence scenarios and functions as a high-level ontology HIO-v2.draw.png
• Also included is the OWL ontology in Turtle syntax hi_ontology.ttl

Task and Inference Layer

We list HI-specific tasks and subtasks in this visualisation HITasks.png

Scenario repository

For seven Hybrid Intelligence scenarios, we provide the task decomposition in markdown as well as a visual (flowchart) representation. The task decomposition consists of a title, a description, a visual task decomposition, terminology, inference steps and tasks. The HI scenarios currently in the repository are listed below:

• S1 Detecting conflicting, non-cooperative Smart Watch Assistants.
• S2 Learning Explainable Sequential Behaviors.
• S3 Collective Decisions in Law and Economics
• S4 Educational Recommenders with Narratives
• S5 Knowledge Graphs supporting Machine Intelligence
• S6 Co-learning Buildings
• S7 Knowledge-aware Museum Guide for Virtual Heritage Exhibitions

To add a new scenario and task decomposition, clone the repository, add a folder "SX" with a README.md file that uses the same layout as the existing scenarios as well as an image showing the visual task decomposition. Add the scenario through a git pull request.