Automatic Construction of Lightweight Domain Ontologies for Chemical Engineering Risk Management

TL;DR

This paper presents a method for automatically constructing lightweight domain ontologies in chemical engineering risk management, addressing limitations of traditional approaches by reducing reliance on manual rules and scarce resources.

Contribution

It introduces an approach that leverages real-world texts to automatically build high-quality ontologies, improving practicality for real-world applications.

Findings

Promising results in automatic ontology construction from real-world texts

Potential for application in mission-critical risk management systems

Reduction of manual effort in ontology development

Abstract

The need for domain ontologies in mission critical applications such as risk management and hazard identification is becoming more and more pressing. Most research on ontology learning conducted in the academia remains unrealistic for real-world applications. One of the main problems is the dependence on non-incremental, rare knowledge and textual resources, and manually-crafted patterns and rules. This paper reports work in progress aiming to address such undesirable dependencies during ontology construction. Initial experiments using a working prototype of the system revealed promising potentials in automatically constructing high-quality domain ontologies using real-world texts.