With the success of Web 2.0 we are witnessing a growing number of services and APIs exposed by Telecom, IT and content providers. Targeting the Web community and, in particular, Web application developers, service providers expose capabilities of their infrastructures and applications in order to open new markets and to reach new customer groups. However, due to the complexity of the underlying technologies, the last step, i.e., the consumption and integration of the offered services, is a non-trivial and timeconsuming task that is still a prerogative of expert developers. Although many approaches to lower the entry barriers for end users exist, little success has been achieved so far. In this paper, we introduce the OMELETTE 1 project and show how it addresses end-user-oriented telco mashup development. We present the goals of the project, describe its contributions, summarize current results, and describe current and future work.

WebID as an extensible and distributed identification approach enables users to globally authenticate themselves, connect to each other and manage their identity data at a self-defined place. Identity data stored in WebID profile documents can be protected from unauthorized access using appropriate access control methods. While existing methods are primarily about securing resources, they lack providing adequate mechanisms for controlling access to specific data within profiles. This paper presents our approach to create customized views on profiles in WebID-based distributed social networks. We introduce finegrained personalized filters based on SPARQL templates and demonstrate their integration into an existing identity management platform.

The WebID identification approach allows users to manage their profile data at a self-defined place in the cloud and enables services as well as other requesters to retrieve data stored within these profiles. While existing access control mechanisms can secure entire user profiles from unauthorized access, they lack fine-grained protection of sensitive data within user profiles.This paper presents an approach for applying requester-specific filters to cloud-stored user profile data in WebID-based distributed social networks. Our approach aims at enabling profile owners to protect sensitive user data within their profiles in a fine-grained manner. We demonstrate our solution by integrating the approach into a WebID identity provider and profile management platform.

Despite several efforts for simplifying the composition process, learning efforts required for using existing mashup editors to develop mashups remain still high. In this paper, we describe how this barrier can be lowered by means of an assisted development approach that seamlessly integrates automatic composition and interactive pattern recommendation techniques into existing mashup platforms for supporting easy mashup development by end users. We showcase the use of such an assisted development environment in the context of an open-source mashup platform Apache Rave. Results of our user studies demonstrate the benefits of our approach for end user mashup development.

Abstract. In this paper we present our approach to integrate telco services into enterprise mashup applications. We show how cross-network integration and multi-user-oriented mashup concept support execution and orchestration of business processes. We identify the main classes of telco services and provide a reference architecture for telco-enabled mashup applications. Finally, we describe our approach for systematic integration process and give an outlook into our further research.