The Application of a Natural Language Argumentation Based Approach within Project Life Cycle Management

Fiona Browne, Yan Jin, Colm Higgins, David Bell, Niall Rooney, Hui Wang, Fergal Monaghan, Zhiwei Lin, Jann Mueller, Alan Sergeant, Philip Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationUnited Kingdom
PublisherInternational Standard Recording Code
Number of pages10
Publication statusPublished - 01 Sep 2011

Bibliographical note

22nd Irish conference on Artificial Intelligence and Cognitive Science ; Conference date: 01-09-2011


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