A framework for generating aviation risk information mobile user interfaces from knowledge graphs
Liang, Junli, Abgaz, YalemisewORCID: 0000-0002-3887-5342 and Brennan, RobORCID: 0000-0001-8236-362X
(2019)
A framework for generating aviation risk information mobile user interfaces from knowledge graphs.
In: 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 5-6-Dec 2019, Galway, Ireland.
In this paper, we introduce a new framework called Flight Planner for generating Aviation Risk Information mobile-compatible user interfaces from Knowledge Graphs. The framework is divided into three components, a templating engine, a Linked Data Knowledge Graph and a mobile app.Traditional Linked Data frameworks provide poor support for user interface generation and common web frameworks do not natively support Linked Data-based Knowledge Graphs. Moreover,Aviation Risk Information systems is specialised area mainly studied by organisational psychologists or experts in human factors and it has received little attention by computer scientists.Thus, a flexible, efficient, and usable framework for Aviation Risk Information is needed. A comparative evaluation was done with Linked Data Reactor framework as a benchmark.It is observed that Flight Planner produces equivalently flexible and efficient, but less usable results despite being an early prototype.
Metadata
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Linked Data; Templating engine; mobile apps; SPARQL; UI generation; Aviation Safety Management Systems
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
Enterprise Ireland Commercialisation Fund (CF2018-2012), European Regional Development Fund under Ireland’s European Structural and Investment Funds Programme 2014-2020.
ID Code:
24655
Deposited On:
19 Jun 2020 11:44 by
Vidatum Academic
. Last Modified 19 Jun 2020 11:44