We apologize if you receive multiple copies of this CFP

GIA : GeoInformation Analysis
Technical track at the 36th ACM/SIGAPP Symposium On Applied Computing
Gwangju, Korea
March 22-March 26, 2021


Sept 15, 2020  : Submission of regular papers and SRC research abstract
Track Description:
The production and use of geo-referenced digital resources is expanding rapidly. In order to exploit their contents, the documents are annotated, indexed and analyzed according to data models dedicated to the description of particular domains. The multiple dimensions of data descriptors can be divided into three categories: location (spatial dimension), date/time (temporal dimension), and theme (thematic dimension). Data consisting of these multi-dimensional characteristics are considered as geographical data.
In recent years, a variety of works have highlighted the potential of the extraction, analysis and retrieval of geographic information in corpora composed of textual documents, images and maps. A number of engines and services dedicated to the search for geographical information have been proposed: they mostly cover spatial information but some include spatio-temporal and thematic information.
The purpose of this Track is to bring together the growing community of professionals and researchers in the field of geographic information extraction, retrieval and analysis, and of the corresponding applications. The GIA track is at the crossroads of several disciplines: of course, geomatics, but also Knowledge Engineering (KE), natural languages processing (NLP), data mining (DM), information extraction (IE) and data visualization (Dataviz).

How to effectively exploit the power of geographical information available on the Web, through the
thematic, spatial and temporal dimensions? How to use the complementarity of external knowledge
resources? These questions highlight a non-exhaustive list of themes considered for GIA track:
• Preparation of Geographical Data
o Identification of resources and of data (texts, images, etc.);
o Data Modeling (spatial, temporal, spatio-temporal and thematic data);
o Considering specific characteristics: heterogeneity, volumetry, mono or multidimensionality.
• Geographical knowledge Extraction
o Construction and Acquisition of spatial/temporal/thematic Knowledge;
o Qualitative approaches (expert annotation, etc.) and quantitative approaches (data mining, NLP, etc.).
• Geographical Data Analytics
o Single or multi-Dimensional Data Analysis (interpretation and data enrichment),
o Quality measurements on spatial and temporal data;
• Geovizualisation
o Tools and techniques supporting the analysis of geospatial data through the use of
interactive visualization;
• Evaluation of spatial and temporal tools, resources and knowledge;
• Uses, methods and issues in Humanities and Social Sciences topics: geography, health,
history, archeology, sociology, etc.

Submission guidelines:
Regular papers: Original papers addressing any of the listed topics of interest (or related topics) will be considered. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. Paper size is limited to 8 pages.   All reviews will be double-blind: authors'names and affiliations must not appear in the paper, self-citations should be in the third person, and authors must avoid disclosing their identity by any means.

Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library.

Paper submissions must be made electronically in PDF format via the SAC 2021 website: http://www.sigapp.org/sac/sac2021/.
Submission of the same abstract to multiple tracks is not allowed.
Student Research Competition: Graduate students are invited to submit research abstracts (maximum 4 pages) to the Student Research Competition (SRC).  The details Student Research Competition can be found on the SAC website: http://www.sigapp.org/sac/sac2021/.

Track co-chairs and contacts:

Christian Sallaberry, University of PAU & PAYS ADOUR,Pau, France

Eric Kergosien, University of LILLE, GERiiCO lab, France

Cyril de Runz, University of Tours, LIFAT, BDTLN, France

Gavin McArdle, UCD School of Computer Science, University College Dublin, Ireland

Luis Otavio Alvares, Universidade Federal de Santa Catarina, Trindade, Florianopolis, Brazil