A semantically aware user interface design for gis applications through cloud based microservices

This research aims to establish a smart data integration framework that will aid in a better understanding of the meaning of spatial objects and relationships on the spatial web by creating semantic web ontologies and microservices, building on a data-driven agile development approach for geospatial applications. The research will contribute to semantic spatial web and data mining techniques, big geospatial data analytics and semantic-based data distribution methods.

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Contributors

Abdelrhman Rayis

Conference

Publication date: July 2022

Publication date (Print): July 2022

Pages: 1-2

Affiliations

[0001]Keele University

Keele, Staffordshire, UK

Article

DOI: 10.14236/ewic/HCI2022.58

SO-VID: 6f2e117a-db02-48e3-aa32-855a5bde461e

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 35th International BCS Human-Computer Interaction Conference

Conference acronym: HCI2022

Conference number: 35

Conference location: Keele, Staffordshire

Conference date: July 11th to 13th, 2022

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Towards a Human-Centred Digital Society

History

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2022.58

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

Allan et al. (2020, July 21). The Spatial Web and Web 3.0 What business leaders should know about the next era of computing. deloitte. Retrieved from deloitte: https://www2.deloitte.com/us/en/insights/topics/digital-transformation/web-3-0-technologiesin-business.html
Al-Yadumi, S., Xion, T. E., Xion, T. E., Xion, T. E., Wei, G. W., Wei, S. G., & Boursier, P. (2021). Review on Integrating Geospatial Big Datasets and Open Research Issues. IEEE Access.
Dominique Bonte, J. H. (2018). The future of maps: technologies, processes, and ecosystem. ABI research, HERE Technologies.
Durante, D. H. (2014). A Metadata Schema for Geospatial Resource Discovery Use Cases. code4lib.
Huang, C.-Y., & Chang, H. (2016). GeoWeb Crawler: An Extensible and Scalable Web Crawling Framework for Discovering Geospatial Web Resources. ISPRS international journal of geoinformation.
Markets and Markets. (2021). Geospatial Solutions Market by Technology,Region – Global Forecast to 2024. MarketsandMarkets Research Private Ltd.
McGlinn, K., O'Sullivan, D., O'Sullivan, D., Debruyne, C., Clinton, E., & Brennan, R. (2020). Geoff: a linked data vocabulary for describing the form and function of spatial objects. No journal available. doi:null
Morteza Omidipoor, A. T. (2020). Knowledge discovery web service for spatial data infrastructures. isprs international journal of geo information.
Yu, L., Qiu, P., Liu, X., Lu, F., & Wan, B. (2018). A holistic approach to aligning geospatial data with multidimensional similarity measuring. International Journal of Digital Earth.

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[1] Allan et al. (2020, July 21). The Spatial Web and Web 3.0 What business leaders should know about the next era of computing. deloitte. Retrieved from deloitte: https://www2.deloitte.com/us/en/insights/topics/digital-transformation/web-3-0-technologiesin-business.html

[2] Al-Yadumi, S., Xion, T. E., Xion, T. E., Xion, T. E., Wei, G. W., Wei, S. G., & Boursier, P. (2021). Review on Integrating Geospatial Big Datasets and Open Research Issues. IEEE Access.

[3] Dominique Bonte, J. H. (2018). The future of maps: technologies, processes, and ecosystem. ABI research, HERE Technologies.

[4] Durante, D. H. (2014). A Metadata Schema for Geospatial Resource Discovery Use Cases. code4lib.

[5] Huang, C.-Y., & Chang, H. (2016). GeoWeb Crawler: An Extensible and Scalable Web Crawling Framework for Discovering Geospatial Web Resources. ISPRS international journal of geoinformation.

[6] Markets and Markets. (2021). Geospatial Solutions Market by Technology,Region – Global Forecast to 2024. MarketsandMarkets Research Private Ltd.

[7] McGlinn, K., O'Sullivan, D., O'Sullivan, D., Debruyne, C., Clinton, E., & Brennan, R. (2020). Geoff: a linked data vocabulary for describing the form and function of spatial objects. No journal available. doi:null

[8] Morteza Omidipoor, A. T. (2020). Knowledge discovery web service for spatial data infrastructures. isprs international journal of geo information.

[9] Yu, L., Qiu, P., Liu, X., Lu, F., & Wan, B. (2018). A holistic approach to aligning geospatial data with multidimensional similarity measuring. International Journal of Digital Earth.

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