Automatic Acquisition of Failure Mode and Effect Analysis Ontology for Sustainable Risk Management

In this piece of research, we have presented an approach to populate Failure Mode and Effect Analysis (FMEA) ontology from existing worksheets prepared by experts. FMEA is a commonly used method for risk assessment in any organization. This method is initiated by domain experts who analyze all the associated risks to a product or process, their causes, severity, effects and mitigation actions. Besides domain experts, time and cost are the other two factors involved in successful completion of FMEA. Reusability of the knowledge produced at the end of this method can bring numerous benefits to an organization. Some ontologies are available for semantic content management of FMEA knowledge but in order to avail their full benefits, it is must that they can acquire the existing knowledge automatically. Major objective of this article is to develop an algorithm, which can populate FMEA ontology from existing worksheets. Major contribution of this work is to identify an existing FMEA ontology and its evaluation for schema and relationship richness, then its automatic population using proposed algorithm without human intervention, and finally making it a part of complete knowledge management system. Our proposed algorithm correctly mapped 1357 instances to FMEA ontology from manually prepared FMEA spreadsheets. This FMEA ontology has been queried by domain experts and it was proved to be very helpful in experts like decision-making.

[1]  Ivana Rábová,et al.  Enterprise Content Management Implementation and Risk , 2015 .

[2]  Jang-Eui Hong,et al.  Failure Detection and Prevention for Cyber-Physical Systems Using Ontology-Based Knowledge Base , 2018, Comput..

[3]  Silvana Castano,et al.  Multimedia Interpretation for Dynamic Ontology Evolution , 2009, J. Log. Comput..

[4]  Agnieszka Konys,et al.  An Ontology-Based Knowledge Modelling for a Sustainability Assessment Domain , 2018 .

[5]  Massimo Mecella,et al.  Ontology population for open‐source intelligence: A GATE‐based solution , 2018, Softw. Pract. Exp..

[6]  Ming-Hung Shu,et al.  Extended FMEA for Sustainable Manufacturing: An Empirical Study in the Non-Woven Fabrics Industry , 2016 .

[7]  Sebastian Hellmann,et al.  Knowledge Extraction from Structured Sources , 2012, SeCO Book.

[8]  Stefania Kifor,et al.  A Conceptual Architecture of Ontology Based KM System for Failure Mode and Effects Analysis , 2014, Int. J. Comput. Commun. Control.

[9]  Zobia Rehman,et al.  An Ontology to Support Semantic Management of FMEA Knowledge , 2016, Int. J. Comput. Commun. Control.

[10]  Samaneh Shokravi,et al.  An ontology approach to support FMEA studies , 2009, 2009 Annual Reliability and Maintainability Symposium.

[11]  Vladislav Todorov,et al.  Domain ontology of sustainable development in economy , 2018 .

[12]  João Carlos Espíndola Ferreira,et al.  A system for distributed sharing and reuse of design and manufacturing knowledge in the PFMEA domain using a description logics-based ontology , 2011 .