e-tissage

traitements d'information & outils numériques
pour êtres humains

Design d’information

GeoGraph : Normalized Categorization of Multisource Geolocated Data

How GeoGraph, a multisource database of geolocated objects has been build, and how objects categorization is normalized with the Landmarks Objects Ontology build for the Choucas project. We will look into how the graph structure can be used in this context and demo how results of database queries can be displayed on a map, with a QGIS script.

screenshots of slides of the presentation (see pdf in post)

Lire la suite »

Véronique Gendner

24 janvier, 2022 at 5:51

GeoGraph : Modelling and building a graph database of multi-source landmarks to help emergency mountain rescuers

The purpose of the Choucas research project is to come up with methods, tools and resources, to help mountain rescue team localise victims, when answering emergency calls. In this context, we have built a graph data base with the Neo4j Label Property Graph (LPG) technology, that integrates several sources of geolocated objects. Some data comes from the national mapping agency (IGN BDTOPO), others, like routes from crowdsourcing websites. Categorization of multi-source imported data has been normalized by an instantiation process based on the Landmarks Objects Ontology (OOR) that had previously been produced by the project team.
The flexibility of graph databases helps make the right modelling choices by progressively taking into account problems observed in the data as well as researchers and users feedback and new needs.

A more in depth presentation of this work, with a demo of a python script to display the content of the database on a map, with QGIS can be seen here.

4 screen print extracted from the presentation (see pdf in post)

Here is the presentation of this work done at the International Cartographic Conference, on 15th Dec. 2021 : Lire la suite »

Véronique Gendner

15 décembre, 2021 at 3:37

NODES2020 : Using Cypher to Extend a Graph-Based Documentation

At NODES2020, I’ve presented about graphs for humans : how to manually build a graph structured documentation with TheBrain Technologies, and why this graph writing is so useful.

Also how cypher (Neo4j *) can be used to automatically extract tables or hierarchies needed for specific contexts of use of this documentation.

Along the way, I’ve exposed some ideas about Information Design, the way I see it, that is including all that concerns representation of information but also structuring and the way they are interrelated.

Lire la suite »

Véronique Gendner

23 octobre, 2020 at 10:44

Neo4j for newbies

Introduction videos

Neo4j in 1’43 »

Intro to Graph Databases Series (playlist)

Dive right in

Getting started with neo4j in 10 minutes (Excell)

Neo4j sandbox (try it out without installing anything)

In depth learning

Graph academy (free online training)

Getting (seriously) started https://neo4j.com/developer/get-started/

Documentation

Neo4j operation manual

Cypher manual (beware of differences if you use 3.5 DB https://neo4j.com/docs/cypher-manual/3.5/)

Cypher refcard

APOC : essential plugin, in particular for data import https://neo4j.com/docs/labs/apoc/current/

 

Véronique Gendner

23 octobre, 2020 at 10:25

Catégorie(s): Graphes

Le choc d’une visualisation : inégalités de richesse aux US

Comme le fait remarquer Ezra Klein dans un papier pour le Washingtonpost, l’étude réalisée par Dan Ariely and Michael Norton’s à propos des inégalités de richesse aux US est passée relativement inaperçue du grand public lors de sa publication en 2011. Et puis un internaute l’a représentée visuellement dans une vidéo :

Lorsque E. Klein publiait son papier début mars 2013, la vidéo en était à 3 m° de visionnage. Fin 2016, elle avait presque attend les 20 M° de visionnage.

De l’importance de la représentation, en particulier pour les questions qui impliquent des chiffres, surtout des chiffres tellement grands qu’ils sont une gageure pour nos capacités humaines de représentation.

Véronique Gendner

17 décembre, 2016 at 7:57