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.

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

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

 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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