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While authorities are moving towards the adoption of more electro-mobility services in urban environments, their application in the real world remains still low due to a number of challenges. The integration of services from different providers using different data formats hinders interoperability; a secure and trustworthy data exchange is needed to preserve the rights of beneficiaries on the shared data. The NeMo project addresses those challenges by providing a decentralized service platform based on a distributed ledger to enable interoperable and secure data flow between service providers throughout Europe. This paper provides details about the architecture, enabling easy integration of electro-mobility services and demonstrates the approach by showing the overall flow from designing to using the electro-mobility services.

To fulfill the promises of Augmented Reality (AR) in the manufacturing and maintenance industry, the development of AR application has to become faster, simpler and cheaper. Since typical AR applications make use of basic functionality like reading markers and displaying simple overlays, a clever combination of such basic building blocks would ease the development of complex AR applications.In this paper, we present a distributed architecture for creating and managing basic AR services, e.g. for information management, user interaction, and documentation. This way, complex AR processes can be orchestrated from those services for being used in different application domains.

This paper describes an algorithm for semantic decomposition. For that we surveys languages used to enrich contextual information with semantic descriptions. Such descriptions can be e.g. applied to enable reasoning when collecting vast amounts of information. In particular, we focus on the elements of the languages that make up their semantic. To do so, we compare the expressiveness of the well-known languages OWL, PDDL and MOF with a theory from linguistic called the Natural Semantic Metalanguage. We then analyze how the semantic of the language is build up and describe how semantic decomposition based on the semantic primes can be used for a so called mental lexicon. This mental lexicon can be used to reason upon semantic service description in the research domain of service match making.

Semantic information is considered as foundation upon which modern approaches attempt to tackle the challenges of dynamic environments - service orchestration and ontology matching are two examples for the use of such information. Yet, many developers avoid the additional effort of adding semantic information (e.g., through annotations) to their data sets - limiting the reusability and interoperability of their Apps, services, or data. This problem is called the "knowledge acquisition bottleneck", which can be addressed by providing suitable tool support. This survey analyses the state-of-the-art of such tools that support developers in the task of semantically enriching entities. Providing an overview of available tools from the early days until now, we particularly focus on the 'level of automation'. Concluding that automation is very limited in contemporary tools we propose a concept that mixes connectionist and symbolic representation of meaning to decrease the manual effort.

This work advocate self-explanation as one foundation of self-* properties. Arguing that for system component to become more self-explanatory the underlining foundation is an awareness of themselves and their environment. In the research area of adaptive software, self-* properties have shifted into focus caused by the tendency to push ever more design decisions to the applications runtime. Thus fostering new paradigms for system development like intelligent and learning agents. This work surveys the state-of-the-art methods of self-explanation in software systems and distills a definition of self-explanation. Additionally, we introduce a measure to compare explanations and propose an approach for the first steps towards extending descriptions to become more explanatory. The conclusion shows that explanation is a special kind of description. The kind of description that provides additional information about a subject of interest and is understandable for the audience of the explanation. Further the explanation is dependent on the context it is used in, which brings about that one explanation can transport different information in different contexts. The proposed measure reflects those requirements.

11th International Conference on Practical Applications of Agents and Multiagent Systems. PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an international yearly forum to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their ex-perience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2010 edition in the Special Sessions and Workshops. PAAMS'10 Special Sessions and Workshops are a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Special Ses-sions and Workshops that emphasize on multi-disciplinary and transversal aspects, as well as cutting-edge topics were especially encouraged and welcomed.