The CLARITY project (www.clarity-h2020.eu) aims to implement a new generation of climate services that allow the service users to perform an initial assessment of the expected climate change effects in the project area, as well as an initial assessment of the need for and of the usability of the adaptation options in the early project planning phase. The target users of this service are the consultants and urban planning experts that aren’t climate change experts but need to produce standardized reports indicating the climate hazard, exposure and impact data, as well as the expected impact of the adaptation options in the project area, as a part of the project planning. The initial implementation of this service uses the available open data to calculate the local heat hazard, population exposure and related impact indicators at the project location on the fly. In the initial implementation, the heat related can be automatically calculated for more than 400 European cities, with a spatial resolution of 500 × 500 m2. Extension to the flooding hazards and related impacts is in implementation. This article will describe in more detail the workflow and the technical implementation of the CLARITY screening service and discuss the value, potential and the limitations of the current service implementation.

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.

The EU FP7 TaToo project major aim is to bridge the resource discovery gap. This is a well know problem regard- ing, firstly, the difficulty of discovering resources available on the Web, secondly, the access and possibly the ‘visu- alisation’ of these resources once discovered. TaToo is trying to solve the problem through a framework (based on semantic concepts) able to store in a knowledge base, meta-information (or metadata) associated with resources. Me- ta-information is then used by TaToo during the resource discovery process. Meta-information is provided by end users while discovering resources or by resource owners and, as stored in a triplestore, it consists of RDF triples made of Domain Ontologies concepts. Meta-information knowledge base makes possible, together with a reasoner, a resource model for annotation, and a set of Domain Ontologies, a semantically-enhanced resource discovery process. The paper briefly shows the TaToo architecture focusing on the description of those components dealing with seman- tics. Then, it shows how semantics has been implemented, giving details on the Minimal Environmental Resource Model (MERM) and on the process of integrating Domain Ontologies to realise the ontology framework used in Ta- Too. 1.

Sensor and earth observation data are becoming more and more available through service networks. In order to provide operational services, reliable and easy to use mechanisms for security, authentication and distributed access control are vital for service providers when offering their services. This paper describes a Service Access Control (SAC) framework which was developed as part of the SANY project, a project of the 6th European Framework Program (FP6) which has developed a reference model and service architecture for sensor service networks. The result of this work is the CHARON Service Access Control Framework, which aims at overcoming the major problems identified in the analysis. This paper describes the overall functionality of the SANY SAC framework, its implementation CHARON and its key components.

Up today numerous semantic developments, starting from ontologies and leading to semantic applications in various (mostly financial or business) domains have been de veloped and put on the market. Still real suitable systems or application fostering the enrichment of environmental resources in order to make them better understanda ble and/or discoverable for a broader community are missing or have not be thought of yet. TaToo (Tagging Tools b ased on a semantic discovery framework, FP7 project, www.tatoo-project.eu ) intends to demonstrate how the enorm ous amount of environmental information can become better discoverable and understandable for a broad rang e of user, e.g. from environmental experts up to the man on th e street. Clearly upfront to the definition, specification an d implementation of the TaToo framework and tools the requirements with respect to environmental resources handl ed in TaToo (e.g. environmental data, services, app lications etc.) have to be defined. TaToo deals with three scenario s, playing a two folded role. On the one hand they are key providers for challenging requirements but they are al so the evaluation facility to prove (as domain expe rts) the results of project. The proposed paper will describe: a) the main categories of requirements (incl. the a pproach of requirements collection) written down e. g. for tagging, cross-domain annotation and discovery, meta-information, ontologies, etc. b) brief overview on the tools and services for tag ging and discovery provided by the TaToo project c) description of Validation Scenario on Climate Twins Regions and its requirements as well as usage o f TaToo developments d) the expected impact on Europeans Single Information Space and its environmental society/community