Mobile Devices Interface Adaptivity Using Ontologies

被引:5
|
作者
Iqbal, Muhammad Waseem [1 ]
Naqvi, Muhammad Raza [2 ]
Khan, Muhammad Adnan [3 ,4 ]
Khan, Faheem [5 ]
Whangbo, T. [5 ]
机构
[1] Super Univ, Dept Software Engn, Lahore 53700, Pakistan
[2] Univ Toulouse, INP ENIT, F-65000 Tarbes, France
[3] Riphah Int Univ, Fac Comp, Riphah Sch Comp & Innovat, Lahore Campus, Lahore, Pakistan
[4] Gachon Univ, Dept Software, Pattern Recognit & Machine Learning Lab, Seongnam 13557, South Korea
[5] Gachon Univ, Dept Comp Engn, Seongnam 13557, South Korea
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2022年 / 71卷 / 03期
关键词
User context; adaptive interfaces; human computer interaction;
D O I
10.32604/cmc.2022.023239
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Currently, many mobile devices provide various interaction styles and modes which create complexity in the usage of interfaces. The context offers the information base for the development of Adaptive user interface (AUI) frameworks to overcome the heterogeneity. For this purpose, the ontological modeling has been made for specific context and environment. This type of philosophy states to the relationship among elements (e.g., classes, relations, or capacities etc.) with understandable satisfied representation. The context mechanisms can be examined and understood by anymachine or computational framework with these formal definitions expressed in Web ontology language (WOL)/Resource description frame work (RDF). The Protege is used to create taxonomy in which system is framed based on four contexts such as user, device, task and environment. Some competency questions and use-cases are utilized for knowledge obtaining while the information is refined through the instances of concerned parts of context tree. The consistency of the model has been verified through the reasoning software while SPARQL querying ensured the data availability in the models for defined use-cases. The semantic context model is focused to bring in the usage of adaptive environment. This exploration has finished up with a versatile, scalable and semantically verified context learning system. This model can be mapped to individual User interface (UI) display through smart calculations for versatile UIs.
引用
收藏
页码:4767 / 4784
页数:18
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