Opendata, web and dolomites


Question-based Analysis of Geographic Information with Semantic Queries

Total Cost €


EC-Contrib. €






 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.

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

Project "QuAnGIS" data sheet

The following table provides information about the project.


Organization address
postcode: 3584 CS

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


Take a look of project's partnership.

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


 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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