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Crowdsourcing, as one of the most promising techniques for distributed problem-solving, requires sustained human involvement. Therefore, it also brings new challenges to data management, fundamentally data input and its quality. In this paper, we looked at various forms of user motivations and quality control of crowdsourcing when building accessibility maps mobile applications. We discuss how motivations could be used to contribute to our accessibility maps scenarios, and how data can be improved for two types of participants: individual participants and organization participants. We identified three useful techniques for improving data quality: qualification-based, reputation-based, and aggregation-based. In addition, based on our own mobile application (named WEMAP), we evaluated our approaches through focus group discussions and in-depth interviews.

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Switzerland is one of the most desirable European destinations for Chinese tourists; therefore, a better understanding of Chinese tourists is essential for successful business practices. In China, the largest and leading social media platform-Sina Weibo, a hybrid of Twitter and Facebook-has more than 600 million users. Weibo's great market penetration suggests that tourism operators and markets need to understand how to build effective and sustainable communications on Chinese social media platforms. In order to offer a better decision support platform to tourism destination managers as well as Chinese tourists, we proposed a framework using linked data on Sina Weibo. Linked Data is a term referring to using the Internet to connect related data. We will show how it can be used and how ontology can be designed to include the users' context (e.g., GPS locations). Our framework will provide a good theoretical foundation for further understand Chinese tourists' expectation, experiences, behaviors and new trends in Switzerland.

Abstract. The BATIC 3 S project 5 (Building Adaptive Three-dimensional Interfaces for Controlling Complex Control Systems) proposes a methodology to prototype adaptive graphical user interfaces (GUI) for control systems. We present a domain specific language for the control systems domain, including useful and understandable abstractions for domain experts. This is coupled with a methodology for validation, verification and automatic GUI prototype generation. The methodology is centered on metamodel-based techniques and model transformations, and its foundations rely on formal models. Our approach is based on the assumption that a GUI can be induced from the characteristics of the system to control.