Integrating heterogeneous data sources for planning road reconstruction

Tatsuya Kimoto; Takeshi Morita; Takahito IshII; Haruya Suga; Yu Sugawara; Takashi Beppu; Takahira Yamaguchi

doi:10.1016/j.procs.2015.08.302

Integrating heterogeneous data sources for planning road reconstruction

Tatsuya Kimoto, Takeshi Morita, Takahito IshII, Haruya Suga, Yu Sugawara, Takashi Beppu, Takahira Yamaguchi

Department of Industrial and Systems Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

Analyzing big data with fixed scheme, the analysis does not become sometimes enough with less data. We should have more data with scheme free including picture, movies, map, news and social media and then integrate them in order to get the analysis more effective. Here is discussed how to integrate various kinds of heterogeneous data to do so. Taking case studies to support road reconstruction planning, we integrate six kinds of domestic data: traffic accident data, road traffic census data, street view with G-map, YouTube, Twitter, and News. In addition, we discuss usefulness of integration and reference of various kinds of data.

Original language	English
Pages (from-to)	1720-1727
Number of pages	8
Journal	Procedia Computer Science
Volume	60
Issue number	1
DOIs	https://doi.org/10.1016/j.procs.2015.08.302
Publication status	Published - 2015
Event	19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - , Singapore Duration: 2015 Sept 7 → 2015 Sept 9

Keywords

Road reconstruction
Road traffic census data
Traffic accsident data
Variety

ASJC Scopus subject areas

Computer Science(all)

UN SDGs

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

Access to Document

10.1016/j.procs.2015.08.302

Cite this

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title = "Integrating heterogeneous data sources for planning road reconstruction",

abstract = "Analyzing big data with fixed scheme, the analysis does not become sometimes enough with less data. We should have more data with scheme free including picture, movies, map, news and social media and then integrate them in order to get the analysis more effective. Here is discussed how to integrate various kinds of heterogeneous data to do so. Taking case studies to support road reconstruction planning, we integrate six kinds of domestic data: traffic accident data, road traffic census data, street view with G-map, YouTube, Twitter, and News. In addition, we discuss usefulness of integration and reference of various kinds of data.",

keywords = "Road reconstruction, Road traffic census data, Traffic accsident data, Variety",

author = "Tatsuya Kimoto and Takeshi Morita and Takahito IshII and Haruya Suga and Yu Sugawara and Takashi Beppu and Takahira Yamaguchi",

note = "Publisher Copyright: {\textcopyright} 2015 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.; 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 ; Conference date: 07-09-2015 Through 09-09-2015",

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doi = "10.1016/j.procs.2015.08.302",

language = "English",

volume = "60",

pages = "1720--1727",

journal = "Procedia Computer Science",

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T1 - Integrating heterogeneous data sources for planning road reconstruction

AU - Kimoto, Tatsuya

AU - Morita, Takeshi

AU - IshII, Takahito

AU - Suga, Haruya

AU - Sugawara, Yu

AU - Beppu, Takashi

AU - Yamaguchi, Takahira

PY - 2015

Y1 - 2015

N2 - Analyzing big data with fixed scheme, the analysis does not become sometimes enough with less data. We should have more data with scheme free including picture, movies, map, news and social media and then integrate them in order to get the analysis more effective. Here is discussed how to integrate various kinds of heterogeneous data to do so. Taking case studies to support road reconstruction planning, we integrate six kinds of domestic data: traffic accident data, road traffic census data, street view with G-map, YouTube, Twitter, and News. In addition, we discuss usefulness of integration and reference of various kinds of data.

AB - Analyzing big data with fixed scheme, the analysis does not become sometimes enough with less data. We should have more data with scheme free including picture, movies, map, news and social media and then integrate them in order to get the analysis more effective. Here is discussed how to integrate various kinds of heterogeneous data to do so. Taking case studies to support road reconstruction planning, we integrate six kinds of domestic data: traffic accident data, road traffic census data, street view with G-map, YouTube, Twitter, and News. In addition, we discuss usefulness of integration and reference of various kinds of data.

KW - Road reconstruction

KW - Road traffic census data

KW - Traffic accsident data

KW - Variety

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DO - 10.1016/j.procs.2015.08.302

M3 - Conference article

AN - SCOPUS:84941117627

SN - 1877-0509

VL - 60

SP - 1720

EP - 1727

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T2 - 19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015

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ER -

Integrating heterogeneous data sources for planning road reconstruction

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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