IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Location-Based Internationalization and Localization With Mobile Computing

Location-Based Internationalization and Localization With Mobile Computing
View Sample PDF
Author(s): Arpit Kumar Sharma (Manipal University Jaipur, India), Arvind Dhaka (Manipal University Jaipur, India), Amita Nandal (Manipal University Jaipur, India), Akshat Sinha (Arya Institute of Engineering Technology and Management, Jaipur, India)and Deepika Choudhary (Arya Institute of Engineering Technology and Management, Jaipur, India)
Copyright: 2022
Pages: 20
Source title: Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics
Source Author(s)/Editor(s): Pelin Yildirim Taser (Izmir Bakircay University, Turkey)
DOI: 10.4018/978-1-7998-4186-9.ch003

Purchase

View Location-Based Internationalization and Localization With Mobile Computing on the publisher's website for pricing and purchasing information.

Abstract

The Android system operates on many smartphones in many locales. Websites and web tools have their own requirements in day-to-day life. To reach the maximum users, the app and website should handle all the resources such as text strings, functions, layouts, graphics, and any other static data that the app/website needs. It requires internationalization and localization of the website and app to support multiple languages. The basic idea of this chapter is to present an approach for localizing the Android application according to the location data that the app received from the device, but many users do not allow the “access location” feature so this approach will be a dead end in this case. The authors have proposed some other techniques to achieve this feature of localization and internationalization by implementing the “choose language” service so that the app can itself optimize its content and translate it into the user's native language.

Related Content

Sarika Choudhary, Monika Jyotiyana, Krishna Kumar Sharma. © 2025. 22 pages.
Krithikaa Venket, Anju Ambika, Adline R. Freeda. © 2025. 24 pages.
Dwijendra Nath Dwivedi, Ghanashyama Mahanty, Varunendra nath Dwivedi. © 2025. 22 pages.
Pritish Sinha, Khushi, Arvind Dagur. © 2025. 22 pages.
Ruchi Patel, Ashok Kumar Verma, Neelesh Kumar Sahu, Preeti Rai. © 2025. 36 pages.
Leena Jenefa, Dr.Karuppasamy Ramanathan, Namita Mishra, Vishnu Vishnu, M. Jayakumar, S. Ashok. © 2025. 22 pages.
Raman Ghuman, V. Aravindan, Rajkanwar Singh, P. Anirudh. © 2025. 18 pages.
Body Bottom