Automatic Construction of Lightweight Domain Ontologies for Chemical Engineering Risk Management

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dc.creatorWong, Wilson
dc.creatorLiu, Wei
dc.creatorLiaw, Saujoe
dc.creatorBalliu, Nicoletta
dc.creatorWu, Hongwei
dc.creatorTade, Moses
dc.date2008-12-18
dc.date.accessioned2026-07-07T12:20:17Z
dc.date.available2026-07-07T12:20:17Z
dc.descriptionThe 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.
dc.descriptionIn the Proceedings of the 11th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES), Prague, Czech Rep., August, 2008
dc.identifierhttps://arxiv.org/abs/0812.3478
dc.identifierhttp://arxiv.org/abs/0812.3478
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/213022
dc.subjectArtificial Intelligence
dc.titleAutomatic Construction of Lightweight Domain Ontologies for Chemical Engineering Risk Management
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