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.
This is a repeatability page for DC discovery algorithms. The algorithms are provided in the state their results have been published, but they may not represent the most recent version of their implementations.
The efficient discovery of denial constraints in tables is a challenging task. We have released a hybrid DC discovery algorithm "Hydra", which is available as part of the metanome-algorithms respository. The data profiling tool Metanome provides standardized interfaces to facilitate the comparison of different DC discovery methods.
All DC algorithms have been exhaustively tested on the following datasets: