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WIGEOGIS

WIGEO-GIS SOFTWAREERSTELLUNGS-UND HANDELSGESELLSCHAFT MBH
Country: Austria
6 Projects, page 1 of 2
  • Funder: European Commission Project Code: 222292
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  • Funder: European Commission Project Code: 870228
    Overall Budget: 5,761,880 EURFunder Contribution: 4,715,810 EUR

    OpertusMundi will deliver a trusted, secure, and highly scalable pan-European industrial geospatial data market, which will act as a single-point for the streamlined and trusted discovery, sharing, trading, remuneration, and use of proprietary and commercial geospatial data assets, guaranteeing low-cost and flexibility to accommodate the current and emerging needs of Data Economy stakeholders regardless of their size, domain, and expertise. Our goal is inspired by, and grounded on, the real-world landscape and industry-led challenges of the fragmented geospatial data value chain in the EU, the most valuable and foundational thematic area of proprietary data, aiming to deliver a critical missing component and enabler for EU’s Data Economy. The output of our work will go beyond the simple provision of an Industrial Data Platform, ensuring its sustainable and profitable operation after the end of the project.

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  • Funder: European Commission Project Code: 731581
    Overall Budget: 3,087,000 EURFunder Contribution: 2,635,500 EUR

    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

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  • Funder: European Commission Project Code: 296423
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  • Funder: European Commission Project Code: 315631
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