Opendata, web and dolomites

QuAnGIS SIGNED

Question-based Analysis of Geographic Information with Semantic Queries

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 QuAnGIS project word cloud

Explore the words cloud of the QuAnGIS project. It provides you a very rough idea of what is the project "QuAnGIS" about.

tool    data    digital    weather    procedure    distant    preventing    web    packages    sources    whenever    personal    community    disciplines    interoperability    tools    analytic    interrogative    central    questions    temporal    expert    ask    today    analytics    matched    comprehend    vision    readable    semantic    mere    back    amazon    seamless    utilize    translations    mobility    turn    familiar    context    inequality    promise    smartphone    spatial    assistant    syntaxes    form    human    variety    machine    statistical    investigation    spatio    difficult    geo    answer    tremendous    full    similarly    gis    formats    dream    theory    forced    question    technicalities    embed    tapping    age    groups    becomes    impossible    hence    realize    mean    breakthrough    severe    science    scientists    reformulate    understand    queries    captured    social    capacity    patterns    analytical    more    toolboxes    alexa    health    big    unfortunately    geographic    handle    contrast    divides   

Project "QuAnGIS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT UTRECHT 

Organization address
address: HEIDELBERGLAAN 8
city: UTRECHT
postcode: 3584 CS
website: www.uu.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 1˙499˙412 €
 EC max contribution 1˙499˙412 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT UTRECHT NL (UTRECHT) coordinator 1˙499˙412.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

'In the age of big data, geographic information has become a central means for data scientists of various disciplines to embed their analysis into a spatio-temporal context, from human mobility patterns and social inequality to the investigation of personal health. However, as the variety of data sources available on the Web increases, it becomes more and more impossible to comprehend and utilize all tools available to answer geo-analytical questions. The variety of formats and syntaxes required by Geographic Information System (GIS) toolboxes or statistical packages divides the research community into various tool expert groups. Hence, whenever a functionality is needed but not available in one tool, analysts are forced to reformulate their questions in terms of the technicalities of another tool. Furthermore, new tools are difficult to learn, and translations cause severe interoperability problems. Finally, this procedure does not scale with the increasing variety of analytic resources on the Web, preventing analysts from tapping its full potential, and making the promise of seamless big data analytics a mere distant dream. Consider, in contrast, how easy it is for a user of a digital smartphone assistant such as Amazon's Alexa to ask a question like 'What is the weather today?' and get back an answer from the Web. It would mean a tremendous breakthrough in information science if analysts could similarly ask familiar questions in order to get the tools and data required to answer them. Unfortunately, analytic technology currently cannot handle such questions. To realize this vision, it is necessary to understand how analytic resources can be captured with the questions they answer. In this project, I will develop a novel theory of interrogative spatial concepts to turn geo-analytical questions into a machine-readable form using semantic queries. In this form, questions can directly be matched with the capacity of major analytic GIS tools and data on the Web.'

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The information about "QUANGIS" are provided by the European Opendata Portal: CORDIS opendata.

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