Integrating heterogeneous data sources for planning road reconstruction

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

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


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 languageEnglish
Pages (from-to)1720-1727
Number of pages8
JournalProcedia Computer Science
Issue number1
Publication statusPublished - 2015
Event19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - , Singapore
Duration: 2015 Sept 72015 Sept 9


  • Road reconstruction
  • Road traffic census data
  • Traffic accsident data
  • Variety

ASJC Scopus subject areas

  • General Computer Science


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