Smart city document evaluation to support policy analysis

Nil Kilicay-Ergin; Adrian S. Barb

doi:10.1109/SysCon47679.2020.9275834

Smart city document evaluation to support policy analysis

Engineering Division (Great Valley)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Local administrations face many challenges in their shift to smart city development. One of the main challenges is in the area of governance and identification of policy strategies that ensure successful integration of new technologies. In this article we explore a methodology for knowledge elicitation from textual information to identify smart city development trends. Our goal is to evaluate and predict the relevance of documents, especially press releases, to different areas of smart city development. Our methodology includes natural language processing techniques to possibilistically evaluate the relevance of a text to several smart city development areas. Relevant concepts are further associated to domain ontologies and expanded using data fusion techniques to evaluate the relevance of information in text to the areas of smart city development. We test our approach on a large number of documents from the smart city development community.

Original language	English (US)
Title of host publication	SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728153650
DOIs	https://doi.org/10.1109/SysCon47679.2020.9275834
State	Published - Aug 24 2020
Event	14th Annual IEEE International Systems Conference, SYSCON 2020 - Virtual, Montreal, Canada Duration: Aug 24 2020 → Aug 27 2020

Publication series

Name	SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings

Conference

Conference	14th Annual IEEE International Systems Conference, SYSCON 2020
Country/Territory	Canada
City	Virtual, Montreal
Period	8/24/20 → 8/27/20

UN SDGs

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

SDG 11 Sustainable Cities and Communities

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Control and Systems Engineering
Safety, Risk, Reliability and Quality
Control and Optimization
Modeling and Simulation

Access to Document

10.1109/SysCon47679.2020.9275834

Cite this

Kilicay-Ergin, N., & Barb, A. S. (2020). Smart city document evaluation to support policy analysis. In SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings Article 09275834 (SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SysCon47679.2020.9275834

@inproceedings{286168b4a3934a85939a1abe96ba75dd,

title = "Smart city document evaluation to support policy analysis",

abstract = "Local administrations face many challenges in their shift to smart city development. One of the main challenges is in the area of governance and identification of policy strategies that ensure successful integration of new technologies. In this article we explore a methodology for knowledge elicitation from textual information to identify smart city development trends. Our goal is to evaluate and predict the relevance of documents, especially press releases, to different areas of smart city development. Our methodology includes natural language processing techniques to possibilistically evaluate the relevance of a text to several smart city development areas. Relevant concepts are further associated to domain ontologies and expanded using data fusion techniques to evaluate the relevance of information in text to the areas of smart city development. We test our approach on a large number of documents from the smart city development community.",

author = "Nil Kilicay-Ergin and Barb, \{Adrian S.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE; 14th Annual IEEE International Systems Conference, SYSCON 2020 ; Conference date: 24-08-2020 Through 27-08-2020",

year = "2020",

month = aug,

day = "24",

doi = "10.1109/SysCon47679.2020.9275834",

language = "English (US)",

series = "SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Kilicay-Ergin, N & Barb, AS 2020, Smart city document evaluation to support policy analysis. in SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings., 09275834, SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings, Institute of Electrical and Electronics Engineers Inc., 14th Annual IEEE International Systems Conference, SYSCON 2020, Virtual, Montreal, Canada, 8/24/20. https://doi.org/10.1109/SysCon47679.2020.9275834

Smart city document evaluation to support policy analysis. / Kilicay-Ergin, Nil ; Barb, Adrian S.
SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 09275834 (SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Smart city document evaluation to support policy analysis

AU - Kilicay-Ergin, Nil

AU - Barb, Adrian S.

PY - 2020/8/24

Y1 - 2020/8/24

N2 - Local administrations face many challenges in their shift to smart city development. One of the main challenges is in the area of governance and identification of policy strategies that ensure successful integration of new technologies. In this article we explore a methodology for knowledge elicitation from textual information to identify smart city development trends. Our goal is to evaluate and predict the relevance of documents, especially press releases, to different areas of smart city development. Our methodology includes natural language processing techniques to possibilistically evaluate the relevance of a text to several smart city development areas. Relevant concepts are further associated to domain ontologies and expanded using data fusion techniques to evaluate the relevance of information in text to the areas of smart city development. We test our approach on a large number of documents from the smart city development community.

AB - Local administrations face many challenges in their shift to smart city development. One of the main challenges is in the area of governance and identification of policy strategies that ensure successful integration of new technologies. In this article we explore a methodology for knowledge elicitation from textual information to identify smart city development trends. Our goal is to evaluate and predict the relevance of documents, especially press releases, to different areas of smart city development. Our methodology includes natural language processing techniques to possibilistically evaluate the relevance of a text to several smart city development areas. Relevant concepts are further associated to domain ontologies and expanded using data fusion techniques to evaluate the relevance of information in text to the areas of smart city development. We test our approach on a large number of documents from the smart city development community.

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U2 - 10.1109/SysCon47679.2020.9275834

DO - 10.1109/SysCon47679.2020.9275834

M3 - Conference contribution

AN - SCOPUS:85098917754

T3 - SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings

BT - SYSCON 2020 - 14th Annual IEEE International Systems Conference, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th Annual IEEE International Systems Conference, SYSCON 2020

Y2 - 24 August 2020 through 27 August 2020

ER -

Smart city document evaluation to support policy analysis

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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