V for variety: lessons learned from complex smart cities data harmonization and integration

Iman Avazpour; John Grundy; Liming Zhu

doi:10.1109/PERCOMW.2016.7457092

V for variety: lessons learned from complex smart cities data harmonization and integration

Iman Avazpour, John Grundy, Liming Zhu

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

Abstract

With emerging trends for Internet of Things (IoT) and Smart Cities, complex data transformation, aggregation and visualization problems are becoming increasingly common. These tasks support improved business intelligence, analytics and enduser access to data. However, in most cases developers of these tasks are presented with challenging problems including noisy data, diverse data formats, data modeling and increasing demand for sophisticated visualization support. This paper describes our experiences with just such problems in the context of Household Travel Surveys data integration and harmonization. We describe a common approach for addressing these harmonizations. We then discuss a set of lessons that we have learned from our experience that we hope will be useful for others embarking on similar problems. We also identify several key directions and needs for future research and practical support in this area.

Original language	English
Title of host publication	2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
Editors	Chiara Boldrini, Salil Kanhere
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	9781509019410, 9781509019403
DOIs	https://doi.org/10.1109/PERCOMW.2016.7457092
Publication status	Published - 2016
Externally published	Yes
Event	IEEE International Workshop on Context-Aware Smart Cities and Intelligent Transport Systems 2016 - Sydney, Australia Duration: 14 Mar 2016 → 18 Mar 2016 Conference number: 1st http://awarecities.org/

Conference

Conference	IEEE International Workshop on Context-Aware Smart Cities and Intelligent Transport Systems 2016
Abbreviated title	AwareCities2016
Country/Territory	Australia
City	Sydney
Period	14/03/16 → 18/03/16
Internet address	http://awarecities.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Access to Document

10.1109/PERCOMW.2016.7457092

Cite this

Avazpour, I., Grundy, J., & Zhu, L. (2016). V for variety: lessons learned from complex smart cities data harmonization and integration. In C. Boldrini, & S. Kanhere (Eds.), 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016 Article 7457092 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PERCOMW.2016.7457092

Avazpour, Iman ; Grundy, John ; Zhu, Liming. / V for variety : lessons learned from complex smart cities data harmonization and integration. 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. editor / Chiara Boldrini ; Salil Kanhere. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2016.

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title = "V for variety: lessons learned from complex smart cities data harmonization and integration",

abstract = "With emerging trends for Internet of Things (IoT) and Smart Cities, complex data transformation, aggregation and visualization problems are becoming increasingly common. These tasks support improved business intelligence, analytics and enduser access to data. However, in most cases developers of these tasks are presented with challenging problems including noisy data, diverse data formats, data modeling and increasing demand for sophisticated visualization support. This paper describes our experiences with just such problems in the context of Household Travel Surveys data integration and harmonization. We describe a common approach for addressing these harmonizations. We then discuss a set of lessons that we have learned from our experience that we hope will be useful for others embarking on similar problems. We also identify several key directions and needs for future research and practical support in this area.",

author = "Iman Avazpour and John Grundy and Liming Zhu",

year = "2016",

doi = "10.1109/PERCOMW.2016.7457092",

language = "English",

editor = "Chiara Boldrini and Salil Kanhere",

booktitle = "2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Workshop on Context-Aware Smart Cities and Intelligent Transport Systems 2016, AwareCities2016 ; Conference date: 14-03-2016 Through 18-03-2016",

url = "http://awarecities.org/",

}

Avazpour, I, Grundy, J & Zhu, L 2016, V for variety: lessons learned from complex smart cities data harmonization and integration. in C Boldrini & S Kanhere (eds), 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016., 7457092, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, IEEE International Workshop on Context-Aware Smart Cities and Intelligent Transport Systems 2016, Sydney, New South Wales, Australia, 14/03/16. https://doi.org/10.1109/PERCOMW.2016.7457092

V for variety: lessons learned from complex smart cities data harmonization and integration. / Avazpour, Iman; Grundy, John; Zhu, Liming.
2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. ed. / Chiara Boldrini; Salil Kanhere. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2016. 7457092.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - With emerging trends for Internet of Things (IoT) and Smart Cities, complex data transformation, aggregation and visualization problems are becoming increasingly common. These tasks support improved business intelligence, analytics and enduser access to data. However, in most cases developers of these tasks are presented with challenging problems including noisy data, diverse data formats, data modeling and increasing demand for sophisticated visualization support. This paper describes our experiences with just such problems in the context of Household Travel Surveys data integration and harmonization. We describe a common approach for addressing these harmonizations. We then discuss a set of lessons that we have learned from our experience that we hope will be useful for others embarking on similar problems. We also identify several key directions and needs for future research and practical support in this area.

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BT - 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016

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Avazpour I, Grundy J, Zhu L. V for variety: lessons learned from complex smart cities data harmonization and integration. In Boldrini C, Kanhere S, editors, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2016. 7457092 doi: 10.1109/PERCOMW.2016.7457092

V for variety: lessons learned from complex smart cities data harmonization and integration

Abstract

Conference

UN SDGs

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