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GeoRich '20: Proceedings of the Sixth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data
ACM2020 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGMOD/PODS '20: International Conference on Management of Data Portland Oregon 14 June 2020
ISBN:
978-1-4503-8035-5
Published:
26 June 2020
Sponsors:

Reflects downloads up to 19 Sep 2024Bibliometrics
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Abstract

The aim of the GeoRich workshop is to provide a unique forum for discussing in depth the challenges, opportunities, novel techniques and applications on modeling, managing, searching and mining rich geo-spatial data, in order to fuel scientific research on big spatial data applications.

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research-article
Similarity search over enriched geospatial data
Article No.: 1, Pages 1–6https://doi.org/10.1145/3403896.3403967

Enriched geospatial data refers to geospatial entities associated with additional information from various sources, such as textual, numerical or temporal. Exploring such data involves multi-criteria search and ranking across several heterogeneous ...

research-article
Geopriv4j: an open source repository for practical location privacy
Article No.: 2, Pages 1–6https://doi.org/10.1145/3403896.3403968

The breach of users' location privacy can be catastrophic. To prevent privacy breaches, numerous location privacy methods have been developed in the last two decades. However, they have not been widely adopted in location-based applications. As a result,...

research-article
Open Access
Evaluating computational geometry libraries for big spatial data exploration
Article No.: 3, Pages 1–6https://doi.org/10.1145/3403896.3403969

With the rise of big spatial data, many systems were developed on Hadoop, Spark, Storm, Flink, and similar big data systems to handle big spatial data. At the core of all these systems, they use a computational geometry library to represent points, ...

short-paper
Boosting toponym interlinking by paying attention to both machine and deep learning
Article No.: 4, Pages 1–5https://doi.org/10.1145/3403896.3403970

Toponym interlinking is the problem of identifying same spatio-textual entities within two or more different data sources, based exclusively on their names. It comprises a significant task in geospatial data management and integration with application ...

Contributors
  • Johannes Gutenberg University Mainz
  • University of California, Riverside
  • University of Kiel
  • Arizona State University
  • Emory University

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      Acceptance Rates

      GeoRich '20 Paper Acceptance Rate 4 of 9 submissions, 44%;
      Overall Acceptance Rate 25 of 50 submissions, 50%
      YearSubmittedAcceptedRate
      GeoRich '209444%
      GeoRich '1710880%
      GeoRich '1618844%
      GeoRich'1513538%
      Overall502550%