Informed Design Platform: Interpreting “Big Data” to Adaptive Place Designs

Linlin You; Bige Tunçer

doi:10.1109/ICDMW.2016.0197

Informed Design Platform: Interpreting “Big Data” to Adaptive Place Designs

Linlin You
, Bige Tunçer

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

7 Citations (Scopus)

Abstract

As a novel concept, "Informed Design" is proposed in a multidisciplinary project "Livable Places" in Singapore to innovate place design from empirical to evidential by harnessing geo-referenced "Big Data" for a responsive design. As a final delivery, an Informed Design Platform (IDP) is being implemented as a design support tool interpreting multi-source big data to adaptive urban designs for a more livable place. Due to the complexity in "Objects", which include physical devices and virtual services to generate space related data, "Data", which are massive and heterogenous to be interlinked and analyzed for valuable insights, and "Services", which integrate back-end and front-end service modules for innovative services, IDP collaborates them through dedicated mechanisms proposed by a Smart Service Orchestration Architecture (SSOA) to achieve a high scalability in data collection, integration, analysis, and visualization. In this paper, the overall design and currently available services of IDP are presented.

Original language	English
Title of host publication	2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)
Publisher	IEEE/LEOS
Pages	1332-1335
Number of pages	4
ISBN (Print)	978-1-5090-5911-9
DOIs	https://doi.org/10.1109/ICDMW.2016.0197
Publication status	Published - 15 Dec 2016
Externally published	Yes
Event	2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) - Barcelona, Spain Duration: 12 Dec 2016 → 15 Dec 2016

Conference

Conference	2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)
Period	12/12/16 → 15/12/16

Keywords

Sensors
Cloud computing
Data models
Conferences
Data mining
Social network services
Big data

Access to Document

10.1109/ICDMW.2016.0197

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7836828

Cite this

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title = "Informed Design Platform: Interpreting “Big Data” to Adaptive Place Designs",

abstract = "As a novel concept, {"}Informed Design{"} is proposed in a multidisciplinary project {"}Livable Places{"} in Singapore to innovate place design from empirical to evidential by harnessing geo-referenced {"}Big Data{"} for a responsive design. As a final delivery, an Informed Design Platform (IDP) is being implemented as a design support tool interpreting multi-source big data to adaptive urban designs for a more livable place. Due to the complexity in {"}Objects{"}, which include physical devices and virtual services to generate space related data, {"}Data{"}, which are massive and heterogenous to be interlinked and analyzed for valuable insights, and {"}Services{"}, which integrate back-end and front-end service modules for innovative services, IDP collaborates them through dedicated mechanisms proposed by a Smart Service Orchestration Architecture (SSOA) to achieve a high scalability in data collection, integration, analysis, and visualization. In this paper, the overall design and currently available services of IDP are presented.",

keywords = "Sensors, Cloud computing, Data models, Conferences, Data mining, Social network services, Big data",

author = "Linlin You and Bige Tun{\c c}er",

year = "2016",

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doi = "10.1109/ICDMW.2016.0197",

language = "English",

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pages = "1332--1335",

booktitle = "2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)",

publisher = "IEEE/LEOS",

note = "2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) ; Conference date: 12-12-2016 Through 15-12-2016",

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T1 - Informed Design Platform: Interpreting “Big Data” to Adaptive Place Designs

AU - You, Linlin

AU - Tunçer, Bige

PY - 2016/12/15

Y1 - 2016/12/15

N2 - As a novel concept, "Informed Design" is proposed in a multidisciplinary project "Livable Places" in Singapore to innovate place design from empirical to evidential by harnessing geo-referenced "Big Data" for a responsive design. As a final delivery, an Informed Design Platform (IDP) is being implemented as a design support tool interpreting multi-source big data to adaptive urban designs for a more livable place. Due to the complexity in "Objects", which include physical devices and virtual services to generate space related data, "Data", which are massive and heterogenous to be interlinked and analyzed for valuable insights, and "Services", which integrate back-end and front-end service modules for innovative services, IDP collaborates them through dedicated mechanisms proposed by a Smart Service Orchestration Architecture (SSOA) to achieve a high scalability in data collection, integration, analysis, and visualization. In this paper, the overall design and currently available services of IDP are presented.

AB - As a novel concept, "Informed Design" is proposed in a multidisciplinary project "Livable Places" in Singapore to innovate place design from empirical to evidential by harnessing geo-referenced "Big Data" for a responsive design. As a final delivery, an Informed Design Platform (IDP) is being implemented as a design support tool interpreting multi-source big data to adaptive urban designs for a more livable place. Due to the complexity in "Objects", which include physical devices and virtual services to generate space related data, "Data", which are massive and heterogenous to be interlinked and analyzed for valuable insights, and "Services", which integrate back-end and front-end service modules for innovative services, IDP collaborates them through dedicated mechanisms proposed by a Smart Service Orchestration Architecture (SSOA) to achieve a high scalability in data collection, integration, analysis, and visualization. In this paper, the overall design and currently available services of IDP are presented.

KW - Sensors

KW - Cloud computing

KW - Data models

KW - Conferences

KW - Data mining

KW - Social network services

KW - Big data

UR - https://ieeexplore.ieee.org/document/7836828/

U2 - 10.1109/ICDMW.2016.0197

DO - 10.1109/ICDMW.2016.0197

M3 - Conference contribution

SN - 978-1-5090-5911-9

SP - 1332

EP - 1335

BT - 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)

PB - IEEE/LEOS

T2 - 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)

Y2 - 12 December 2016 through 15 December 2016

ER -

Informed Design Platform: Interpreting “Big Data” to Adaptive Place Designs

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Keywords

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