BiDaML: a suite of visual languages for supporting end-user data analytics

Hourieh Khalajzadeh; Mohamed Abdelrazek; John Grundy; John Hosking; Qiang He

doi:10.1109/BigDataCongress.2019.00025

BiDaML: a suite of visual languages for supporting end-user data analytics

Hourieh Khalajzadeh, Mohamed Abdelrazek, John Grundy, John Hosking, Qiang He

Department of Software Systems & Cybersecurity

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

14 Citations (Scopus)

Abstract

We introduce Big Data Analytics Modeling Languages (BiDaML), a novel integrated suite of visual languages aimed at supporting end users during the process of designing big data analytics solutions. BiDaML comprises five diagrammatic notations: A data analytics brainstorming diagram; a process diagram; technique diagrams; data diagrams; and output diagrams. Tool support in the form of an integrated design environment for creating BiDaML diagrams has also been developed. To demonstrate the utility of BiDaML, we illustrate our approach with a real-world example of property price prediction and evaluate BiDaML using the physics of notations and cognitive walkthroughs with target end users-data scientists and software engineers.

Original language	English
Title of host publication	Proceedings - 2019 IEEE International Congress on Big Data
Editors	Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	93-97
Number of pages	5
ISBN (Electronic)	9781728127729
DOIs	https://doi.org/10.1109/BigDataCongress.2019.00025
Publication status	Published - 2019
Event	IEEE International Congress on Big Data 2019 - Milan, Italy Duration: 8 Jul 2019 → 13 Jul 2019 https://conferences.computer.org/serviceswp/2019/#!/toc/7 https://ieeexplore.ieee.org/xpl/conhome/8805991/proceeding (Proceedings)

Conference

Conference	IEEE International Congress on Big Data 2019
Abbreviated title	BigData Congress 2019
Country/Territory	Italy
City	Milan
Period	8/07/19 → 13/07/19
Internet address	https://conferences.computer.org/serviceswp/2019/#!/toc/7 https://ieeexplore.ieee.org/xpl/conhome/8805991/proceeding (Proceedings)

Keywords

big data analytics
big data modeling
big data toolkits
domain specific visual languages
end user tools

Access to Document

10.1109/BigDataCongress.2019.00025

Cite this

Khalajzadeh, H., Abdelrazek, M., Grundy, J., Hosking, J., & He, Q. (2019). BiDaML: a suite of visual languages for supporting end-user data analytics. In E. Bertino, C. K. Chang, P. Chen, E. Damiani, M. Goul, & K. Oyama (Eds.), Proceedings - 2019 IEEE International Congress on Big Data (pp. 93-97). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BigDataCongress.2019.00025

Khalajzadeh, Hourieh ; Abdelrazek, Mohamed ; Grundy, John et al. / BiDaML : a suite of visual languages for supporting end-user data analytics. Proceedings - 2019 IEEE International Congress on Big Data . editor / Elisa Bertino ; Carl K. Chang ; Peter Chen ; Ernesto Damiani ; Michael Goul ; Katsunori Oyama. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 93-97

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abstract = "We introduce Big Data Analytics Modeling Languages (BiDaML), a novel integrated suite of visual languages aimed at supporting end users during the process of designing big data analytics solutions. BiDaML comprises five diagrammatic notations: A data analytics brainstorming diagram; a process diagram; technique diagrams; data diagrams; and output diagrams. Tool support in the form of an integrated design environment for creating BiDaML diagrams has also been developed. To demonstrate the utility of BiDaML, we illustrate our approach with a real-world example of property price prediction and evaluate BiDaML using the physics of notations and cognitive walkthroughs with target end users-data scientists and software engineers.",

keywords = "big data analytics, big data modeling, big data toolkits, domain specific visual languages, end user tools",

author = "Hourieh Khalajzadeh and Mohamed Abdelrazek and John Grundy and John Hosking and Qiang He",

note = "Funding Information: ACKNOWLEDGEMENTS Support for this research from ARC Discovery DP170101932 is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2019 IEEE.; IEEE International Congress on Big Data 2019, BigData Congress 2019 ; Conference date: 08-07-2019 Through 13-07-2019",

year = "2019",

doi = "10.1109/BigDataCongress.2019.00025",

language = "English",

pages = "93--97",

editor = "Elisa Bertino and {K. Chang}, Carl and Chen, {Peter } and Ernesto Damiani and Goul, {Michael } and Oyama, {Katsunori }",

booktitle = "Proceedings - 2019 IEEE International Congress on Big Data",

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

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Khalajzadeh, H, Abdelrazek, M, Grundy, J, Hosking, J & He, Q 2019, BiDaML: a suite of visual languages for supporting end-user data analytics. in E Bertino, C K. Chang, P Chen, E Damiani, M Goul & K Oyama (eds), Proceedings - 2019 IEEE International Congress on Big Data . IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 93-97, IEEE International Congress on Big Data 2019, Milan, Italy, 8/07/19. https://doi.org/10.1109/BigDataCongress.2019.00025

BiDaML : a suite of visual languages for supporting end-user data analytics. / Khalajzadeh, Hourieh; Abdelrazek, Mohamed; Grundy, John et al.

Proceedings - 2019 IEEE International Congress on Big Data . ed. / Elisa Bertino; Carl K. Chang; Peter Chen; Ernesto Damiani; Michael Goul; Katsunori Oyama. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 93-97.

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

TY - GEN

T1 - BiDaML

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AU - Abdelrazek, Mohamed

AU - Grundy, John

AU - Hosking, John

AU - He, Qiang

PY - 2019

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N2 - We introduce Big Data Analytics Modeling Languages (BiDaML), a novel integrated suite of visual languages aimed at supporting end users during the process of designing big data analytics solutions. BiDaML comprises five diagrammatic notations: A data analytics brainstorming diagram; a process diagram; technique diagrams; data diagrams; and output diagrams. Tool support in the form of an integrated design environment for creating BiDaML diagrams has also been developed. To demonstrate the utility of BiDaML, we illustrate our approach with a real-world example of property price prediction and evaluate BiDaML using the physics of notations and cognitive walkthroughs with target end users-data scientists and software engineers.

AB - We introduce Big Data Analytics Modeling Languages (BiDaML), a novel integrated suite of visual languages aimed at supporting end users during the process of designing big data analytics solutions. BiDaML comprises five diagrammatic notations: A data analytics brainstorming diagram; a process diagram; technique diagrams; data diagrams; and output diagrams. Tool support in the form of an integrated design environment for creating BiDaML diagrams has also been developed. To demonstrate the utility of BiDaML, we illustrate our approach with a real-world example of property price prediction and evaluate BiDaML using the physics of notations and cognitive walkthroughs with target end users-data scientists and software engineers.

KW - big data analytics

KW - big data modeling

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BT - Proceedings - 2019 IEEE International Congress on Big Data

A2 - Bertino, Elisa

A2 - K. Chang, Carl

A2 - Chen, Peter

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A2 - Goul, Michael

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PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

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ER -

Khalajzadeh H, Abdelrazek M, Grundy J, Hosking J, He Q. BiDaML: a suite of visual languages for supporting end-user data analytics. In Bertino E, K. Chang C, Chen P, Damiani E, Goul M, Oyama K, editors, Proceedings - 2019 IEEE International Congress on Big Data . Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 93-97 https://doi.org/10.1109/BigDataCongress.2019.00025

BiDaML: a suite of visual languages for supporting end-user data analytics

Abstract

Conference

Keywords

Access to Document

Other files and links

Domain-specific visual languages for big data analytics applications

Cite this

BiDaML: a suite of visual languages for supporting end-user data analytics

Abstract

Conference

Keywords

Access to Document

Other files and links

Projects

Domain-specific visual languages for big data analytics applications

Cite this