Abstract
The research being reported exapts a method to build an ontology, and a method for detecting terms from text, and applies these to the problem of identifying potential misalignment of government user interfaces (GovUI) to the legislation it is meant to be implementing. Misalignment may suggest that when government may be collecting too much, or too little information. Too much information suggests privacy issues, while too little requires customers to provide additional information to enable government to determine their eligibility for limited government services. This paper presents the GovUI-Onto, an ontological method that can be used to identify misalignment. The method is applied in the welfare, taxation, and immigration settings, using the definition of ‘Australian resident’. The findings indicate significant misalignment in all settings. The GovUI-Onto method can be used to detect potential misalignment of GovUIs to the legislation, and it can also be used to avoid misalignment.
Original language | English |
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Title of host publication | Proceedings of the Pacific Asia Conference on Information Systems PACIS 2021 |
Editors | M.N. Ravishankar, Xi (Jacky) Zhang |
Place of Publication | Netherlands |
Publisher | Association for Information Systems |
Pages | 1-15 |
Number of pages | 15 |
ISBN (Print) | 9781733632577 |
Publication status | Published - 12 Jul 2021 |
Event | PACIS 2021: Information Systems For The Future - Dubai, Dubai, United Arab Emirates Duration: 12 Jul 2021 → 14 Jul 2021 https://www.pacis2021.org/ |
Conference
Conference | PACIS 2021 |
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Abbreviated title | PACIS 2021 |
Country/Territory | United Arab Emirates |
City | Dubai |
Period | 12/07/21 → 14/07/21 |
Internet address |