TY  - Type of reference 
TI  - Data visualisation in archaeology based on graph approach. Operational meeting of ArkeoGIS archaeologists and IndexMed ecologists 
AU  - Romain David 
AU  - Loup Bernard 
AU  - Cyrille Blanpain 
AU  - Alrick Dias 
AU  - Jean-Pierre Féral 
AU  - Sophie Gachet 
AU  - Julien Lecubin 
AU  - Christian Surace 
AU  - Thierry Tatoni 
AB  - The one thing in common “archaeological”, “biodiversity” or “social systems” studies share is that data
production is both expensive and few automated. Long time series and / or large spatial surveys are difficult to conduct,
since it is necessary to use several observers. The robustness and reproducibility of the observation are also harder to
get and is obviously impossible in archaeological sciences, even if modeling methods are improved.
In a context of multi-source data production, the equivalence of observation systems and the inter-calibration of the
observers become crucial. Multi-disciplinary integrative approaches become necessary to study systems where the output of data, in each discipline, is discontinuous, imprecise and poorly distributed. Yet, all variables (characterization of
economic activities and human installation, productions studies, characteristics of the discovered or reconstituted objects,
biotic or abiotic data, maps of anthropogenic and natural pressures, rendered services and feelings, societal perception...)
of these systems interact over time and at each spatial scale.
After a few years of existence, ArkeoGIS aggregates 67 databases representing over 50 000 objects (sites, analyzes...).
With this standardization of archaeological and paleoenvironmental information, it seemed important to test new data
mining methods, to see whether "related" and complex data can be linked to these archaeological data sets. The link
between aggregated-bases extracts within ArkeoGIS allowed us to set up a cross-requesting and test possibilities in a
prototype developed by the consortium IndexMed. This prototype, open source, allows the establishment of links between
objects from different databases.
The consortium IndexMed aims to identify and to raise the scientific challenges related to data quality and heterogeneity.
The use of graphs allows us to consider data despite their disparity and without prioritization, and improve decision
support using emerging data mining methods (collaborative clustering, machine learning, graphs approaches,
representation knowledge). Adapting these methods in archeology allows us to go beyond the "simple" data aggregation:
ArkeoGIS can therefore also be used to power such tools allowing us to mine our data and metadata. 
DO  - 10.21494/ISTE.OP.2017.0166 
JF  - Digital Archaeology 
KW  - visualisation,  data qualification,  graph,  distributed information system,  archeology, visualisation,  qualification de données,  graphes,  système d’information décentralisé,  archéologie,  
L1  - http://www.openscience.fr/IMG/pdf/iste_numearv1n1_5.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2017/10/13 
SN  - 2515-7574 
TT  - Visualisation de données sous forme de graphes en archéologie. Rencontre opérationnelle des archéologues d’ArkeoGIS et des écologues d’IndexMed 
UR  - http://www.openscience.fr/Data-visualisation-in-archaeology-based-on-graph-approach-Operational-meeting 
IS  - Issue 1 
VL  - 1 
ER  -