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.

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

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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lastchecktime (2021-05-15 10:45:58) correctly updated