Integrating heterogeneous data sources for planning road reconstruction

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

研究成果: Conference contribution

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
ホスト出版物のタイトルProcedia Computer Science
出版社Elsevier
ページ1720-1727
ページ数8
60
1
DOI
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 72015 9 9

Other

Other19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015
CountrySingapore
Period15/9/715/9/9

ASJC Scopus subject areas

  • Computer Science(all)

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