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

管理工学科

研究成果: Conference article › 査読

1 被引用数 (Scopus)

抄録

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.

本文言語	English
ページ（範囲）	1720-1727
ページ数	8
ジャーナル	Procedia Computer Science
巻	60
号	1
DOI	https://doi.org/10.1016/j.procs.2015.08.302
出版ステータス	Published - 2015
イベント	19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - , Singapore 継続期間: 2015 9月 7 → 2015 9月 9

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引用スタイル

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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.",

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AU - Kimoto, Tatsuya

AU - Morita, Takeshi

AU - IshII, Takahito

AU - Suga, Haruya

AU - Sugawara, Yu

AU - Beppu, Takashi

AU - Yamaguchi, Takahira

PY - 2015

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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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SN - 1877-0509

VL - 60

SP - 1720

EP - 1727

JO - Procedia Computer Science

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Integrating heterogeneous data sources for planning road reconstruction

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