Suchergebnisse

Title Page -- Preface -- Organization -- Table of Contents -- Invited Talks -- eEnvironment: Reality and Challenges for eEnvironment Implementation in Europe -- Introduction -- Introduction to eEnvironment Vision -- eEnvironment and eDemocracy -- Development of eEnvironment Infrastructure -- eEnvironment and Digital Agenda for Europe -- eEnvironment Services in the Digital Agenda for Europe -- eEnvironment Services and European Neighbourhood -- eEnvironment and Open Government Data Initiative -- Vision for Extending eEnvironment to a Single Information Space in Europe for the Environment -- Conclusion -- References -- Making Progress in Integrated Modelling and Environmental Decision Support -- Introduction -- Integrated Modelling -- Where Are We Now? -- The Legacy of Models -- Protocols and Guidelines -- Participatory Modelling -- Paradigms for Integrated Modelling -- Methods and Tools -- The Software and Hardware Technology -- Where Would We Like to Be? -- Uncertainty Management -- Problem Framing -- Model and Data Assurance, Uncertainty and Sensitivity -- Long Term Modelling Projects -- Software Development Methodologies -- How Do We Get There and What Are the Opportunities? -- References -- Microsoft Open Government Data Initiative (OGDI), Eye on Earth Case Study -- Open Data Driving Open Government -- The Open Government Challenge -- Why is Public Data So Important? -- The European Open Government Data Initiative (European OGDI) Solution -- Overcoming Barriers towards Open Government -- Why Use the Cloud for Open Data? -- Open Data Projects Using Microsoft Technologies -- Open Data Terms of Use -- Case Studies -- Environmental Data Sharing: Eye on Earth a Cloud-Based, Web 2.0 Solution -- Open Data Applications: Rennes - Waste Collection Points -- Open Data Applications: Paris - Sorting on Streetside Trees.

Part 2: Information Systems, Information Modelling and Semantics ; International audience ; Sharing of open government data is amongst other reasons hindered by incompatibility of data models in different data collections. Only a few areas in the environmental domain have progressed towards commonly used data models. The purpose of this paper is to share with the community a data model which is used in a spatial information platform being built for the purpose of sharing open government data in the domain of water sciences. The objective when building the information model was not to be restricted to one and only one (meta)data standard. The information model therefore uses several standards and extension mechanisms: the ISO19000 series, the Comprehensive Knowledge Archive Network (CKAN), dynamic tag extension and dynamic content extension. The CKAN domain model can also be mapped to semantic-web-compatible standards like Dublin Core and the Data Catalogue Vocabulary of the World Wide Web Consortium.

Intro -- Preface -- Organization -- Table of Contents -- Keynotes and Context Articles -- A Provenance Maturity Model -- 1 Introduction -- 2 The PMM -- 3 Evaluation -- 4 Related Work -- 5 Conclusion -- Challenges in Modelling of Environmental Semantics -- 1 Introduction -- 2 Semantics for an Environmental Information Space -- 3 Case Study -- 4 Epilogue -- References -- Topics in Environmental Software Systems -- 1 Introduction -- 2 The Conference Landscape -- 2.1 EnviroInfo -- 2.2 ISESS -- 2.3 MODSIM -- 2.4 IEMSS -- 2.5 The White Spots on the Map -- 3 The ISESS Conference Series -- 4 A Complete History of Events -- 4.1 ISESS Conferences -- 4.2 ISESS Workshops and Co-organised Events -- 5 ISESS 2001-2009 Second Editions and Enviromatics.org -- 6 A Review of ISESS Topics -- 7 Patterns in Environmental Software Systems? -- References -- The Framework for Environmental Software Systemsof the European Environment Agency -- 1 Introduction -- 2 Structure of the Multiannual Work Programme 2014-2018 -- 3 Shared Environmental Information System -- 4 Copernicus -- 4.1 Earth Observation of the Land Services of Copernicus -- 4.2 Copernicus and INSPIRE -- 4.3 Copernicus Services Challenges -- 5 INSPIRE -- 5.1 INSPIRE Enabled Interoperability of Spatial Data Sets and Services -- 6 Conclusion -- References -- Crowdsourcing in Crisis and Disaster Management -Challenges and Considerations -- 1 Introduction -- 2 Crowdsourcing in Crisis Management -- 2.1 What Is Crowdsourcing? -- 2.2 Social Data Mining and Crowdsourcing in Crisis Management -- 2.3 Crowdtasking and Micro-task Markets -- 3 Use Cases, Existing Systems or Applications -- 3.1 Social Sensors for Security Assessments and Proactive EmergencyManagement -- 3.2 Environmental Crowdsourcing Techniques for Improved Water Qualityin Rural India.

Part 5: SEIS as a Part of the 7th Environment Action Programme of EU ; International audience ; The EU Water Framework Directive (WFD) defines the quality goals for European water bodies until 2027. Water bodies are managed on very different governmental levels in the member states. Due to the federal system, Germany has a complex structure of responsibilities regarding the management and maintenance of water bodies in Europe.The paper will present a highly integrated information system to support water body management in the context of the WFD. The system was designed and developed for the German federal state Mecklenburg-Vorpommern. The objective was to provide a state-wide information platform accessible through an environmental information system (EIS) for all activities related to the water body management, including the maintenance of the water body network itself, managing related information regarding statistics, agriculture and environmental protection, as well as water body quality like chemical and biological status.This EIS integrates disparate data sources from a large number of individual providers through standardized services. Moreover, the EIS provides a homogenous view on very different data regarding their topic, content, structure and spatial reference and supports all WFD reporting related workflows.