Abstract
In this paper, we introduce a mobile application (app) called Location Finder that is built with Java using Android Studio and the Google Spreadsheets. This application works semantically as different locations can be automatically detected. It is a complete native Android application to find different locations such as restaurant, hotel, shops, bus stops, ATM, universities, hospitals, gas station and many more. It provides advanced mapping systems that will show different places of interest for app users. This paper discusses the system architecture and details of the design. One of the advantages of the proposed mobile app is that it is easy to develop and based on interoperable Google Spreadsheets platform.
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References
Farley, P., Capp, M.: Mobile web services. BT Technol. J. 23(2), 202–213 (2005)
Harris, C., et al.: mSpace: exploring the semantic web. In: A Technical Report in Support of the mSpace Software Framework, p. 98. IAM Group, University of Southampton, Southampton (2004)
Max, W., Alistair R., Daniel A., Alisdair O.: mSpace Mobile: A Mobile Application for the Semantic Web. IAM Research Group School of Electronics and Computer Science University of Southampton, SO17 1BJ. http://mspace.fm/
Schraefel, M.C., Karam, M., Zhao, S.: mSpace: interaction design for userdetermined, adaptable domain exploration in hypermedia. In: International Workshop on Adaptive Hypermedia. 2003. Nottingham, UK
Ferreira, D., Kostakos, V., Dey, A.K.: AWARE: mobile context instrumentation framework. Front. ICT, 20 April 2015. https://doi.org/10.3389/fict.2015.00006
Carter, S., Mankoff, J., Heer, J.: “/”. In: Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007. https://doi.org/10.1145/1240624.1240644
Wagner, D.T., Rice, A., Beresford, A.R.: Device analyzer: understanding smartphone usage. In: International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2014
MetricWire Mobile Application. Last accessed at 16th of February 2021. https://play.google.com/store/apps/details?id=com.metricwire.android3
Rodriguez, A.M., Tiberius, C., van Bree, R., Geradts, Z.: Google timeline accuracy assessment and error prediction, Forensic Sci. Res. 3, 3, 240–255 (2018). https://doi.org/10.1080/20961790.2018.1509187
Material Design. https://material.io/design/
Balsamiq Studios: 2018. basalmiq. (2018). https://balsamiq.com/
Call-Em-All: 2018. Material-UI. (2018). https://material-ui-next.com/
Google Account: https://accounts.google.com
Andonoska, A., Jakimoski, K.: Performance Evaluation of Mobile Applications (2018). https://www.researchgate.net/publication/337437805
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Olufemi, A.N., Sah, M. (2022). Location Finder Mobile Application Using Android and Google SpreadSheets. In: Ben Ahmed, M., Teodorescu, HN.L., Mazri, T., Subashini, P., Boudhir, A.A. (eds) Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-3637-0_51
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DOI: https://doi.org/10.1007/978-981-16-3637-0_51
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