Ralf Schenkel has been full professor for databases and information systems at Trier University since 2016. Before that, he worked at the University of Passau, Saarland University, and the Max-Planck institute for Informatics. In 2001, he did his PhD on transaction management in federated databases. He works at the intersection of databases, information retrieval and semantic information systems. The focus of his research is on searching semi-structured data, including the integration of heterogeneous information sources and the efficiency of large-scale search engines. More recently, he has worked on mining and searching complex argumentation structures and retrieval in digital libraries, especially dblp.
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI
Argument search engines identify, extract, and rank the most important arguments for and against a given controversial topic. The talk gives an overview of challenges when dealing with arguments from diverse Web sources and presents a quality-aware ranking framework for arguments already extracted from texts and represented as argument graphs, considering multiple established quality measures.