Ontology learning for systems engineering body of knowledge
MetadataShow full item record
This item's downloads: 61 (view details)
Systems engineering (SE) is a multidisciplinary and integrative approach that enables the successful realization of engineered systems. It encompasses fundamentals, principles, and models of foundational systems science, and associated scientific, technological, and management methods for the entire system life cycle. However, the SE body of knowledge is fragmented, as seen from the various guidelines, handbooks, and standards existing in this domain. The lack of a cohesive body of knowledge and shared conceptual framework hinders the mutual understanding of the nature of SE, the practical application of SE approaches, and the sustainable development of the SE discipline. Therefore, the establishment of a common knowledge representation for the entire SE body of knowledge and a shared SE ontology is urgently called for and strongly advocated. This thesis presents a study on the development of a formal ontology for the entire SE body of knowledge using a novel and emerging ontology learning approach. The study was completed using a well-defined scientific process. First, a systematic literature review on relevant cognate studies was carried out to understand the state of the art of ontology development and its application in SE. The literature relating to ontology-based systems engineering (OBSE) was synthesized and analyzed. Then, based on the literature, the gaps and limitations were identified and used to define the research questions and goals. This analysis revealed that manual codification is used to develop SE ontologies, which is tedious, time-consuming, and error-prone. There is a clear need for a formal ontology that depicts the entire body of knowledge. Therefore, to address this gap, this research proposes an ontology learning methodology that takes advantage of natural language processing and machine learning techniques and makes use of existing SE standards to learn an SE ontology derived from available SE knowledge assets. In terms of the development of the SE ontology, three ontology models were developed to portray the conceptual, logical, and data facets. Regarding the validation of the research method, a comprehensive case study was conducted to apply the proposed ontology learning methodology along with the ontology models. From the case study, a formal ontology for the SE body of knowledge was obtained, with a controlled vocabulary of SE terminologies, a concept hierarchy with nine top-level classes, and relations between concepts. To further demonstrate the application scenarios of the ontology, the concepts and relations in the system life cycle processes were separately studied and used for restructuring the life cycle processes more robustly and dynamically. Finally, the thesis incorporates vital learnings and insights to help both academic researchers and practitioners implement a comprehensive and generalizable strategy to create SE ontologies for other application domains or use cases.
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.
The following license files are associated with this item:
Showing items related by title, author, creator and subject.
Improving the finite element model accuracy of tissue engineered scaffolds produced by selective laser sintering Lohfeld, Stefan; Cahill, Senan; Doyle, Heather; McHugh, Peter E. (Springer Verlag, 2015-01-13)In bone tissue engineering, both geometrical and mechanical properties of a scaffold play a major part in the success of the treatment. The mechanical stresses and strains that act on cells on a scaffold in a physiological ...
O'Loughlin, Declan Denis (NUI Galway, 2018-09-03)Radar-based imaging is an emerging modality for breast cancer screening. Two commercial radar-based imaging devices are being tested in patient imaging studies. Promising initial results have highlighted the potential of ...
The role of matrix properties and extrinsic loading in osteoblast-osteocyte differentiation in tissue engineered scaffolds Mc Garrigle, Myles (2018-02-05)Bone tissue engineering is a promising field with the potential to generate tissue substitutes, by taking advantage of mesenchymal stem cells ability to grow and produce tissue substitutes under specific physical conditions. ...