User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams

TL;DR

This paper presents a user-friendly graphical interface that enables domain experts to automatically construct background knowledge modes from ER diagrams, simplifying ILP system setup without requiring expert-level ILP knowledge.

Contribution

The authors introduce a novel GUI-based method for constructing ILP background knowledge from ER diagrams, reducing the need for ILP expertise.

Findings

Users can effectively construct background knowledge comparable to expert-encoded modes.

The method performs well across five diverse data sets.

It simplifies the process of mode construction for non-experts.

Abstract

One of the key advantages of Inductive Logic Programming systems is the ability of the domain experts to provide background knowledge as modes that allow for efficient search through the space of hypotheses. However, there is an inherent assumption that this expert should also be an ILP expert to provide effective modes. We relax this assumption by designing a graphical user interface that allows the domain expert to interact with the system using Entity Relationship diagrams. These interactions are used to construct modes for the learning system. We evaluate our algorithm on a probabilistic logic learning system where we demonstrate that the user is able to construct effective background knowledge on par with the expert-encoded knowledge on five data sets.