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"In the context of the implementation of sustainable solutions for the objectives ""Life on Earth"" (#15), ""Climate Action"" (#13), and ""Sustainable Tourism"" (target 8.9) and in particular to measure human pressures on ecosystems, the aim of the IntForOut project is to develop new methods and tools to build spatio-temporal databases integrating heterogeneous data coming from multiple sources of spatial data: national, regional and local authorities, communities of researchers and citizens (via participatory science or volunteered geographic information). IntForOut will focus on the issue of wildlife disturbance caused by recreational activities in mountains. In this rapidly changing geographical context, multi-source integration will allow knowledge to be shared between researchers from different disciplines, with land managers and with users, which in turn will improve the monitoring of ecosystems on large spatial and temporal scales. The project will propose an approach based on knowledge engineering methods (knowledge graph) to obtain, represent and provide the necessary expertise during the integration process and for the stakeholders managing the ecosystems. The integration process will be based on multi-scale data matching, quality assessment, semantic enrichment, and metadata description. An open knowledge graph and databases for ecosystem monitoring will be available in an ETL open platform. The integration of data will be tested in two pilot cases in the mountains (Bauges and Chamonix Mont-Blanc), with the aim of making these human-wildlife issues visible and proposing mitigation levers to tourism managers, such as raising user awareness via participatory science or calculating resilient routes to destinations."
"In the context of the implementation of sustainable solutions for the objectives ""Life on Earth"" (#15), ""Climate Action"" (#13), and ""Sustainable Tourism"" (target 8.9) and in particular to measure human pressures on ecosystems, the aim of the IntForOut project is to develop new methods and tools to build spatio-temporal databases integrating heterogeneous data coming from multiple sources of spatial data: national, regional and local authorities, communities of researchers and citizens (via participatory science or volunteered geographic information). IntForOut will focus on the issue of wildlife disturbance caused by recreational activities in mountains. In this rapidly changing geographical context, multi-source integration will allow knowledge to be shared between researchers from different disciplines, with land managers and with users, which in turn will improve the monitoring of ecosystems on large spatial and temporal scales. The project will propose an approach based on knowledge engineering methods (knowledge graph) to obtain, represent and provide the necessary expertise during the integration process and for the stakeholders managing the ecosystems. The integration process will be based on multi-scale data matching, quality assessment, semantic enrichment, and metadata description. An open knowledge graph and databases for ecosystem monitoring will be available in an ETL open platform. The integration of data will be tested in two pilot cases in the mountains (Bauges and Chamonix Mont-Blanc), with the aim of making these human-wildlife issues visible and proposing mitigation levers to tourism managers, such as raising user awareness via participatory science or calculating resilient routes to destinations."
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