Call for paper
	
GIA : GeoInformation Analysis
Technical track @ SAC 2020


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). Such multidimensional representations 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, maps, etc. Several engines or services dedicated to the search for geographical information have been proposed: their focus is predominantly on spatial information, but services for spatio-temporal and thematic information are also becoming available.
This track will 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: Geomatics, Knowledge Engineering (KE), Natural Languages Processing (NLP), Data Mining (DM) and Information Extraction (IE).

Topics:
At a high level the GIA track is concerned with research related to effectively exploiting the power of geographical information available on the Web, through thematic, spatial and temporal dimensions. The complementary use of external knowledge resources is also of interest. Within this context, the following non-exhaustive list of themes will be considered for the GIA track:

1. Preparation of Geographical Data
a.	Identification of resources and data (texts, images, etc.);
b.	Data Modelling (spatial, temporal, spatio-temporal and thematic data);
c.	Handling specific characteristics: heterogeneity, volumetry, mono or multi-dimensionality;
2. Preparation and/or uses of Geographic Information Systems
3. Geographical Knowledge Extraction
a.	Construction and Acquisition of Spatial/Temporal/Thematic Knowledge;
b.	Semantic Web and Geographic Information;
c.	Web of Things and Geographic Information;
d.	Qualitative approaches (expert annotation, etc.) and Quantitative Approaches (data mining, NLP, etc).
4. Geographical Data Analytics
a.	Single or Multidimensional Data Analysis (interpretation and data enrichment);
b.	Quality Measurements and Metrics for Spatial and Temporal data;
c.	Evaluation of spatial and temporal Tools, Resources and Knowledge.
5. Uses, Methods and Issues of Geographical Data in the Humanities and Social Sciences: Geography, History, Archaeology, 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. A maximum of 2 additional pages may be included for an additional fee.  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. For accepted papers, registration for the conference is required by at least one of the authors or a proxy, who must attend SAC and present the paper. This is a strict requirement for the paper to be included in the ACM SAC 2020 proceedings.
Paper submissions must be made electronically in PDF format via the SAC 2020 website: http://www.sigapp.org/sac/sac2020/.
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/sac2020/.


Track co-chairs and contacts:

Christian Sallaberry, University of PAU & PAYS ADOUR, LIUPPA lab., Avenue du Doyen Poplawski, 64016, Pau, France, email: christian.sallaberry@univ-pau.fr

Eric Kergosien, University of LILLE, GERiiCO lab, Domaine universitaire du "Pont de Bois", BP 60149, 59653 – Villeneuve d'Ascq Cédex, France, email: eric.kergosien@univ-lille3.fr

Cyril de Runz, University of Tours, IUT de Blois, 15 Rue de la Chocolaterie CS 32903 41029 BLOIS CEDEX, email: cyril.derunz@univ-tours.fr

Gavin McArdle, UCD School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland, email: gavin.mcardle@ucd.ie

Luis Otavio Alvares, Universidade Federal de Santa Catarina, Trindade, Florianópolis - SC, 88040-900, Brazil, email: luis.alvares@ufsc.br