1st International Workshop on

Open and Crowdsourced
Location Data
(ISOCLoD’20)

22,23 June, Madrid, Spain

About The Workshop

Motivation

Last decade has witnessed the dawn of personal mobile contrivances as the center of our digital life. In that sense, manufacturers have greately empowered such devices with new and more advanced sensing features. One clear example of this enrichment is the fact that now mobile devices are commonly equipped with different outdoor and indoor positioning technologies (e.g. GPS, RFID or Bluetooth). This ubiquity of location-aware personal devices has entitled users to generate an unprecedented amount of spatio-temporal data. Furthermore, all this data can be easily hosted and shared in different crowdsourcing platforms like Online Social Networks as Twitter or collaborative applications as OpenStreetMap. At the same time, the Open Data movement encourages public and private institutions to publish their data in a freely manner and so that it is available to anyone. In an urban scope, this has released a huge amount of contextual data related to the own cities infrastructure, services and population.

This wealth of open and crowdsourced location data clearly enables the development of an ecosystem of new, innovative and cost-effective systems. Applications in smart mobility, smart tourism or smart marketing are some of the fields where these systems can bring outstanding opportunities. However, there is lack of end-to-end solutions able to smoothly integrate, fuse, process and analyze both types of data to extract meaningful and functional knowledge. This way, the aforementioned ecosystem is still in its early stage.

This workshop will promote the use of intelligent techniques and models to come up with solutions that actually profit from open and crowdsourced location data in many different perspectives ranging from the data management to the machine learning fields. All in all, the workshop will offer to the academic and industrial communities a forum to share their different experiences and challenges in this fascinating field.

Topics of interest

Areas of interest include, but are not limited to, the following ones

  • Smart mobility
  • Smart tourism
  • Smart marketing
  • Open governance
  • Fusion techniques for user-generated data
  • Security solutions for crowdsensing platforms
  • Land-use discovery mechanisms
  • Information models for crowdsensing and open data
  • Recommendation systems
  • Machine learning for volunteered geographic information
  • Big Data solutions for open and crowdsensed environments
  • Internet of Things (IoT) enablers

Important Dates

  • Submissions deadline: 25th March 202012th April 2020.
  • Notification acceptance: 25th April 2020.
  • Camera-ready submission: 1st May 2020.
  • Workshop dates: 22nd or 23rd June 2020.

Submissions

Instructions for authors

Authors wishing to participate in this event should format their papers according to the IOS Press style, with a length of at least 6 but no more than 10 pages. Latex and Word templates can be found in http://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors. The submission system for this workshop is based on EasyChair. Papers must be submitted using this link.

All submitted papers will be submitted to a peer-review process by referees with expertise in the area. This process will result in constructive feedback to the authors and the selection of the best contributions to be presented in the workshop and published in the proceedings.

All accepted papers will be published in an Open Access volume in the Book Series on Ambient Intelligence and Smart Environments Series (IOS Press). The Workshops Proceedings published by this Book Series are indexed in the Conference Proceedings Citation Index - Science (CPCI-S) by Thomson Reuters. Previous editions were indexed by Scopus. We are also negotiating a special issue in a relevant journal in this area for extended selected papers (more information on this shortly).

Special Issue

The best submissions to ISOCLoD'20 will be invited to participate in the special issue of the MDPI International Journal of Geo-Information (IF 1.840) on Intelligent Systems based on Open and Crowdsourced Location Data.

More information by clicking the image below.

Program Committee

Dr. Antonio Skarmeta

University of Murcia, Spain

Dr. Carlos Tavares-Calafate

Technical University of Valencia, Spain

Dr. Jason J. Jung

Chung-Ang University, Republic of Korea

Dr. Juan Antonio Alvarez

University of Seville, Spain

Dr. Enrique Frias-Martinez

Telefonica Research, Spain

Dr. Vanessa Frias-Martinez

University of Meryland, United States

Dr. Javier Prieto

University of Salamanca, Spain

Dr. Lorena Gonzalez-Manzano

University Carlos III, Spain

Dr. Jesús Soto

Catholic University of Murcia, Spain

Dr. Mercedes Valdes-Vela

University of Murcia, Spain

Dr. Francisco Arcas

Catholic University of Murcia, Spain

Workshop Venue

Workshop venue location info

School of Telecommunication Engineering, Madrid, Spain

The workshop will be co-located with the 16th International Conference on Intelligent Environments (IE2020)

Program Chairs

Please direct your inquiries to the Program Chairs

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Dr. Fernando Terroso-Saenz

Universidad Católica de Murcia (UCAM)

fterroso@ucam.edu

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Prof. Andres Muñoz

Universidad Católica de Murcia (UCAM)

amunoz@ucam.edu