Computer Science – Artificial Intelligence
Scientific paper
2008-12-18
Computer Science
Artificial Intelligence
In the Proceedings of the 11th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution R
Scientific paper
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.
Balliu Nicoletta
Liaw Saujoe
Liu Wei
Tade Moses
Wong Wilson
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