CORDIS
EU research results

CORDIS

English EN
Scalable Linking and Integration of Big POI data

Scalable Linking and Integration of Big POI data

Objective

POIs are the content of any application, service, and product even remotely related to our physical surroundings. From navigation applications, to social networks, to tourism, and logistics, we use POIs to search, communicate, decide, and plan our actions.
The Big Data assets for POIs and the evolved POI value chain introduced opportunities for growth, but also complexity, intensifying the challenges relating to their quality-assured integration, enrichment, and data sharing. POI data are by nature semantically diverse and spatiotemporally evolving, representing different entities and associations depending on their geographical, temporal, and thematic context.
Pioneered by the FP7 project GeoKnow, linked data technologies have been applied to effectively extract the maximum possible value from open, crowdsourced and proprietary Big Data sources. Validated in the domains of tourism and logistics, these technologies have proven their benefit as a cost-effective and scalable foundation for the quality-assured integration, enrichment, and sharing of generic-purpose geospatial data
In SLIPO, we argue that linked data technologies can address the limitations, gaps and challenges of the current landscape in integrating, enriching, and sharing POI data. Our goal is to transfer the research output generated by our work in project GeoKnow, to the specific challenge of POI data, introducing validated and cost-effective innovations across their value chain
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS

Address

Artemidos 6 Kai Epidavrou
151 25 Maroussi

Greece

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 748 500

Participants (6)

Sort alphabetically

Sort by EU Contribution

Expand all

INSTITUT FUR ANGEWANDTE INFORMATIK (INFAI) EV

Germany

EU Contribution

€ 393 000

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 440 500

TOMTOM DEVELOPMENT GERMANY GMBH

Germany

EU Contribution

€ 23 379

WIGEO-GIS SOFTWAREERSTELLUNGS-UND HANDELSGESELLSCHAFT MBH

Austria

EU Contribution

€ 336 000

GEOSPATIAL ENABLING TECHNOLOGIES EPE

Greece

EU Contribution

€ 332 500

TOMTOM LOCATION TECHNOLOGY GERMANY GMBH

Germany

EU Contribution

€ 361 621

Project information

Grant agreement ID: 731581

Status

Ongoing project

  • Start date

    1 January 2017

  • End date

    31 December 2019

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 3 087 000

  • EU contribution

    € 2 635 500

Coordinated by:

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS

Greece