For bachelor students we offer German lectures on database systems in addition with paper- or project-oriented seminars. Within a one-year bachelor project students finalize their studies in cooperation with external partners. For master students we offer courses on information integration, data profiling, search engines and information retrieval enhanced by specialized seminars, master projects and advised master theses.
The Web Science group focuses on various topics related to the Web, such as Information Retrieval, Natural Language Processing, Data Mining, Knowledge Discovery, Social Network Analysis, Entity Linking, and Recommender Systems. The group is particularly interested in Text Mining to deal with the vast amount of unstructured and semi-structured information available on the Web.
Most of our research is conducted in the context of larger research projects, in collaboration across students, across groups, and across universities. We strive to make available most of our data sets and source code.
WS 2009/2010: Master's Seminar "Emerging Web Services Technologies"
WS 2009/2010: Workshop "Duplikaterkennung"
SS 2010: Master's Seminar: "Similarity Search Algorithms"
Local Arrangements Chair for ICIQ 2009
POSR: A Comprehensive System for Aggregating and Using Web Services (demo)
AbuJarour, Mohammed; Craculeac, Mircea; Menge, Falko; Vogel, Tobias; Schwarz, Jan-Felix
Proceedings of the IEEE Services Cup 2009 at IEEE International Conference on Web Services (ICWS)
Recently, the number of public Web Services has been constantly increasing. Nevertheless, consuming Web Services as an end-user is not straightforward, because creating a suitable user interface for consuming a Web Service requires much effort. In this work, we introduce a novel approach where user interface fragments for consuming Web Services are generated automatically, and aggregated and customized by end-users to match their preferences. Users can collaboratively improve the auto-generated user interfaces and share them among each other. Our three main sources of Web Services are explicit registration, automatic identification and collecting over the Web, as well as extraction and generation from existing web applications. We validated our approach by implementing it as a comprehensive system coined “Posr”.