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.
Gruetze, T., Krestel, R., Lazaridou, K., Naumann, F.(2017)“What was Hillary Clinton doing in Katy, Texas?”, in Proceedings Of The 26Th International Conference On World Wide Web, Www 2017, Perth, Australia, 3-7 April, 2017, ACM.
Jenders, M., Krestel, R., Naumann, F.(2016)“Which Answer is Best? Predicting Accepted Answers in MOOC Forums”, in Proceedings Of The 25Th International Conference Companion On World Wide Web, International World Wide Web Conferences Steering Committee, 679-684.
Gruetze, T., Kasneci, G., Zuo, Z., Naumann, F.(2016)“CohEEL: Coherent and Efficient Named Entity Linking through Random Walks”, Web Semantics: Science, Services and Agents on the World Wide Web, 37(C), 75--89.
Godde, C., Lazaridou, K., Krestel, R.(2016)“Classification of German Newspaper Comments”, in Proceedings Of The Conference Lernen, Wissen, Daten, Analysen, Ceur Workshop Proceedings, CEUR-WS.org, 299-310.
Jenders, M., Lindhauer, T., Kasneci, G., Krestel, R., Naumann, F.(2015)“A Serendipity Model For News Recommendation”, in Ki 2015: Advances In Artificial Intelligence - 38Th Annual German Conference On Ai, Dresden, Germany, September 21-25, 2015, Proceedings, Lecture Notes In Computer Science, Springer, 111-123.
Roick, M., Jenders, M., Krestel, R.(2015)“How to Stay Up-to-date on Twitter with General Keywords”, in Proceedings Of The Lwa 2015 Workshops: Kdml, Fgwm, Ir, And Fgdb, Ceur Workshop Proceedings, CEUR-WS.org.
Schubotz, T., Krestel, R.(2015)“Online Temporal Summarization of News Events”, in Proceedings Of The Ieee/wic/acm International Conference On Web Intelligence And Intelligent Agent Technology (Wi-Iat), IEEE Computer Society, 679-684.
Krestel, R., Werkmeister, T., Wiradarma, T.P., Kasneci, G.(2015)“Tweet-Recommender: Finding Relevant Tweets for News Articles”, in Proceedings Of The 24Th International World Wide Web Conference (Www), ACM.
Abedjan, Z., Gruetze, T., Jentzsch, A., Naumann, F.(2014)“Profiling and Mining RDF Data with ProLOD++”, in Proceedings Of The Ieee International Conference On Data Engineering (Icde), Demo, Chicago, IL.
Gruetze, T., Kasneci, G., Zuo, Z., Naumann, F.(2014)“Bootstrapping Wikipedia to Answer Ambiguous Person Name Queries”, in 10Th International Workshop On Information Integration On The Web (Iiweb), Chicago, IL.
Gruetze, T., Böhm, C., Naumann, F.(2012)“Holistic and Scalable Ontology Alignment for Linked Open Data”, in Proceedings Of The 5Th Linked Data On The Web (Ldow) Workshop At The 21Th International World Wide Web Conference (Www), Lyon, France.