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ArchaeoSTOR map: publishing archaeological geodata on the web

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Published:01 July 2012Publication History

ABSTRACT

Modern field science, including archaeology, utilizes a massive amount of digital data captured by state-of-the-art measurement instruments. Large archaeological data sets may include images, geospatial data, analytical data, and metadata. Geospatial information plays a central role in the life cycle of those data; information is collected, organized, and published for analyses and visualization as final output using geospatial data as an index. The web is an ideal place to publish scientific data and promote diverse collaboration, and thus we need a system to publish digital archaeological data efficiently so that it is also integrated in our data management workflow. In order to realize this goal, we designed and implemented a web-based application named ArcheoSTOR Map, which visualizes and publishes raw archaeological data onto a map.

References

  1. A. Gidding, Y. Matsui, T. E. Levy, T. DeFanti, and F. Kuester. e-Science and the Archaeological Frontier. In 2011 IEEE Seventh International Conference on eScience, pages 166--172. IEEE, Dec. 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. J. Heer and B. Shneiderman. Interactive dynamics for visual analysis. Communications of the ACM, 55(4):45, Apr. 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. F. Montesinos, C. L. López, and F. M. R. Pardo. Archaeolo GIS: using geographic information systems to support archaeological research. In Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application - COM. Geo '10, page 26, June 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. ArchaeoSTOR map: publishing archaeological geodata on the web

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          cover image ACM Other conferences
          COM.Geo '12: Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
          July 2012
          212 pages
          ISBN:9781450311137
          DOI:10.1145/2345316

          Copyright © 2012 Authors

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 July 2012

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