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R ecently, there has been a growing interest in developing and applying knowledgebased technologies to aid hazard identi® cation methods such as Hazop (Hazard and Operability Studies), fault tree analysis and check-lists which have traditionally been carried out manually. A critical factor is the knowledge which is used. Previous experience and cases of failure provide an important source of information which can be used to update knowledge. However, the volume of data is normally too great todoi:10.1205/095758297529084 fatcat:xs2he5thsbcvjfsev4fcyhodam