Sunday, October 20, 2019

Special Issue "Geo-Enriched Data Modeling & Mining", IJGI

A Special Issue "Geo-Enriched Data Modeling & Mining" of  ISPRS International Journal of Geo-Information (ISSN 2220-9964)


Deadline for manuscript submissions: 31 August 2020.

Special Issue Information

Dear Colleagues,

Both of 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 geospatial data. This data is enriched by multiple additional sources or contexts such as social information, text, multimedia data, and scientific measurements, called geo-enriched data. This data flood provides a tremendous potential of discovering new and possibly useful knowledge. The novel research challenge is to model, share, search, and mine this wealth of geo-enriched data. The focus of this Special Issue 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 Special Issue is to develop a general framework of methods for modeling, searching and mining enriched geospatial data in order to fuel an advanced analysis of big data applications beyond the current research frontiers. Furthermore, this Special Issue intends to compile an interdisciplinary research collection in the fields of databases, data science, and geoinformation science.

This Special Issue is dedicated to giving an overview of state-of-the-art solutions, techniques and applications on modeling, managing, searching and mining geo‐enriched data, such spatio-textual, spatio-temporal, spatio-social, geo-social network, mobile and wireless data.

We call for original papers from researchers around the world that focus on topics including, but not limited to, the following:

Dr. Andreas Züfle
Dr. Joon-Seok Kim
Guest Editors

Keywords


  • Big Spatial Data
  • Crowdsourcing Computing Resources
  • Data Extraction Techniques including NLP
  • Data Mining on Geo-Enriched data
  • Geo-Multimedia DataM Geo-Social Data
  • Geo-Textual Data
  • Indexing Geo-Enriched data
  • Location-Based Social Networks
  • Spatial Data Models and Representation
  • Spatial Privacy and Confidentiality
  • Spatial Reasoning and Analysis
  • Spatial Recommendation Systems
  • Temporal Geo-Enriched Data
  • Uncertainty in Spatial and Spatio-Temporal Data
  • Visualization of Geo-Enriched Data


Special Issue Editors


  • Dr. Andreas Züfle (Guest Editor)
  • Dr. Joon-Seok Kim (Co-Guest Editor)



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