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.

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

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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