Hierarchical ontology graph for solving semantic issues in decision support systemsGua, H. and Liu, K. (2019) Hierarchical ontology graph for solving semantic issues in decision support systems. In: International Conference on Enterprise Information Systems, 3-5 May 2019, Crete, Greece, pp. 483-487.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryIn the context of the development of Al algorithms in language processing, tremendous progress has been made in knowledge abstraction and semantic reasoning. However, for answering the questions with complex logic, AI system is still in an early stage. Hierarchical ontology graph is proposed to establish analysis threads for the complex question in order to facilitate AI system to further support in business decision making. The study of selecting the appropriate corpora is intended to improve the data asset management of enterprises
Download Statistics DownloadsDownloads per month over past year Related URLs Deposit Details University Staff: Request a correction | Centaur Editors: Update this record |
Lists
Lists
