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.
Boolean queries over titles and abstracts in library catalogs gave rise to a new ﬁeld of Computer Science that today is known by the name of Information Retrieval. The achievements in this field have enabled search technologies that bring large amounts of information almost instantly to our finger tips. Today’s search engines can index billions of documents and enable thousands of queries per second. They exploit information retrieval techniques on rich content features to satisfy the daily needs of hundreds of millions of users all around the globe. These techniques will make up the main subject of this lecture.
Information theory, indexing, top-k retrieval, general retrieval models and evaluation, link analysis, social search