Abstract
Understanding and managing information contained within large, complex interrelated documents in Aerospace Projects is problematic. Such documents contain vital information regarding business and manufacturing processes. However, some of this information may be incomplete or inconsistent which can have detrimental impacts upon large-scale Aerospace Projects in terms of time and cost. To address such issues this research proposes an argumentation based approach to handle design change management, in which large amounts of information need be effectively and efficiently processed. A use case based within the Aerospace domain has been developed. Furthermore, the areas of argumentation mining, computational semantics and reasoning with uncertainty are explored. The project aims to illustrate the possibility of reducing cognitive and duration effort people are required to exert in order to understand, navigate, search, compare, update, and deliberate on large, complex interrelated documents.
Original language | English |
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Title of host publication | Unknown Host Publication |
Publisher | International Standard Recording Code |
Pages | 106-115 |
Number of pages | 10 |
Publication status | Published (in print/issue) - 1 Sept 2011 |
Event | 22nd Irish conference on Artificial Intelligence and Cognitive Science - Magee Duration: 1 Sept 2011 → … http://isrc.ulster.ac.uk/aics2011/ |
Conference
Conference | 22nd Irish conference on Artificial Intelligence and Cognitive Science |
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Period | 1/09/11 → … |
Internet address |