6th ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data

GeoRich 2020


Data Mining & Analysis Databases & Information Systems



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CALL FOR PAPERS
Sixth International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data (GeoRich'20)
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Held in conjunction with the 2020 ACM SIGMOD/PODS
Topic: Enriched Geo-Spatial Data
Venue: Portland, OR, USA
Date: June 14, 2020
URL: https://georich2020.github.io
Both the current trends in technology such as smartphones, general mobile devices, stationary sensors and satellites as well as a new user mentality of utilizing this technology to voluntarily share information produce a huge flood of geo-spatial data. This data is enriched by multiple additional sources or contexts such as social information, text, multimedia data, satellite data and scientific measurements, called enriched geo-spatial data. This data flood provides a tremendous potential of discovering new and possibly useful knowledge. The novel research challenge is to search and mine this wealth of multi-enriched geo-spatial data. The focus of this workshop is to analyze what has been achieved so far and how to further exploit the enormous potential of this data flood. The ultimate goal of this workshop is to develop a general framework of methods for searching and mining enriched geo-spatial data in order to fuel an advanced analysis of big data applications beyond the current research frontiers.
The aim of this 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 beyond the current research frontiers. The workshop is intended to bring together researchers from different fields of databases, data‐science and geo‐science that deal with the management of spatial and spatio‐temporal data, social network data, textual data, multimedia data, semantic data and ontologies, uncertain data and other common types of geo-referenced data. In particular, submissions covering topics from the following non‐exclusive list in the context of enriched geo‐spatial data are encouraged: The topics of interest are related to semantically enriched geo data, such as spatio-textual, spatio-temporal, spatio-social, geo-social network, mobile and wireless data and uncertain data are not limited to:
* Big Spatial Data
* Data mining and machine learning on enriched geo data
* Data stream management and mobile computing
* Exploratory geospatial analysis
* Geographic Information Systems (GIS)
* Geospatial data fusion
* Leveraging spatial data for smart cities
* Privacy and confidentiality
* Machine learning and artificial intelligence using spatial data
* Managing uncertainty in spatial data
* Managing crowd-sourced spatial data
* Spatial and spatio-temporal data management
* Spatial crowdsourcing
* Spatial econometrics
* Spatial data models and representation
* Spatial query processing and optimization
* Spatial reasoning and analysis
* Spatial recommendations
* Spatial statistical analysis
* Urban analytics and smart technologies
The workshop will be organized in a manner that fosters interaction and exchange of ideas among the participants. Besides paper presentations, time will be allocated to open discussion forums, poster presentations, informal discussions or panels. In addition to regular papers, vision or work-in-progress papers that have the potential to stimulate debate on existing solutions or open challenges are especially encouraged. Proposals for panels on newly-emerging or controversial topics are also especially welcome.
All papers must be submitted through https://easychair.org/conferences/?conf=georich2020.
Important Dates
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Abstract Deadline: March 15, 2020 (11:59pm AoE)
Paper Deadline: March 22, 2020 (11:59pm AoE)
Notification: April 16, 2020 (11:59pm AoE)
Camera ready: May 9, 2020 (11:59pm AoE)
Organizers
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Steering Committee
Leila De Floriani (University of Maryland, USA)
Isabel Cruz (University of Illinois at Chicago, USA)
Kyriakos Mouratidis (Singapore Management University, Singapore)
Mario A. Nascimento (University of Alberta, Canada)
Dieter Pfoser (George Mason University, USA)
Matthias Renz (Ludwig-Maximilians-Universitaet Muenchen, Germany)
Program Co-Chairs
Panagiotis Bouros (Johannes Gutenberg University Mainz, Germany)
Amr Magdy (University of California Riverside, USA)
Matthias Renz (Kiel University, Germany)
Mohamed Sarwat (Arizona State University, USA)
Andreas Zuefle (George Mason University, USA)
Proceedings Chair
Olga Gkountouna (George Mason University, USA)
Publicity Chair
Camila F. Costa (University of Alberta, Canada)
Webmaster
Carola Trahms (Kiel University, Germany)
Programm Committee
Michela Bertolotto (University College Dublin, Ireland)
Muhammad Aamir Cheema (Monash University, Australia)
Gao Cong (Nanyang Technological University, Singapore)
Markus Endres (University of Passau, Germany)
Michael Gertz (Heidelberg University, Germany)
Gabriel Ghinita (University of Massachusetts, Boston, USA)
Thomas Heinis (Imperial College London, UK)
Erik Hoel (ESRI)
Christopher Jones (Cardiff University, UK)
Tomi Kauppinen (Aalto University School of Science, Finland)
Joon-Seok Kim (George Mason University, USA)
Nikos Mamoulis (University of Ioannina, Greece)
Grant McKenzie (McGill University, Canada)
Mohamed Mokbel (University of Minnesota, USA)
Kjetil Norvaag (Norwegian University of Science and Technology, Norway)
Dimitris Papadias (The Hong Kong University of Science and Technology)
Dimitris Sacharidis (Vienna University of Technology, Austria)
Sven Schade (European Commission - DG Joint Research Centre)
Timos Sellis (Swinburne University of Technology, Australia)
Dimitrios Skoutas (Research Center "Athena", Greece)
Yufei Tao (Chinese University of Hong Kong)
Goce Trajcevski (Iowa State University, USA)
Carola Wenk (Tulane University, USA)
Stephan Winter (The University of Melbourne, Australia)
Ouri Wolfson (University of illinois, USA)
Raymond Chi-Wing Wong (The Hong Kong University of Science and Technology)
Xiaofang Zhou (The University of Queensland, Australia)