PixMeAwayTravel recommendation platform
ecosioSolutions for the exchange of electronic documents
E-Business and E-Commerce include, besides other influencing domains, rapid changes to economic and social processes. For this reason, the E-Commerce group pursues taking an encompassing view at such processes reaching from analyzing enterprises and their respective processes to evaluating the entire market, as well as is active in creating ideas and solutions for meeting the demands of the respective stakeholders.
Overall, the E-Commerce group performs research and creates solutions in the Business-2-Business (B2B) and Business-2-Consumer (B2C) domains. In the B2B domain, the group focuses on (i) business (process) modeling and definition and consequently the specification and implementation of e-business systems while considering and contributing to semantic web research and service-oriented architectures, (ii) ontology engineering and information integration, (iii) "Web Science" focusing on network analysis and content as well as text mining. In the B2C domain, the E-Commerce group performs research targeting (i) visual interaction paradigms as well as (ii) mobile applications. Thereby, our group focuses especially on the development and application of our research in the area of e-tourism and its mobile applications.
Parts of the EC group are working on systems based research, namely on virtualized HPC systems, massive-scale data analytics and energy efficient ultra-scale distributed systems. Our goal thereby is to develop speculative methodologies and techniques to allocate resources in an energy efficient way, but at the same time meet requirements of the end users, like the certain latency of the applications. Our approaches are evaluated quantitatively on different scales by simulations, benchmarks or on experimental clusters. We strive to develop generic methods and methodologies but we let our research be inspired by a set of real world applications from different domains like life science (e.g., DNA sequencing) or social media (e.g., Facebook size data centers).