Prof. Dr. Axel-Cyrille Ngonga Ngomo leads the Agile Knowledge Engineering and Semantic Web research group at the University of Leipzig. His research interests revolve around Semantic Web technologies, especially link discovery, federated queries, machine learning and natural-language processing. Axel (co-)authored more than 100 reviewed publications, has developed/led the development of several widely used frameworks such as the link discovery framework Limes and the knowledge extraction suite FOX. In addition, he has received manifold awards including best (student) research paper awards at CiCLING 2008, ISWC 2011 and 2014 as well as ESWC 2013 and 2014. He has also won several challenges such as the I’Challenge 2013 and the Big Data Challenge at ISWC 2013. Axel has been giving university lectures on Semantic Web and Information Retrieval/Text Mining for the past 10 years and has given several keynote on Semantic-Web-related topics, for example at NLDB 2015.  Link Discovery is Axel’s main research area. He has published more than a dozen papers on the subject matter (including the first approaches for planning and linking in Minkowski spaces) at top conferences including ISWC and ESWC as well as in journals such as the Semantic Web Journal. He is the main author of the Limes framework, which has been referenced in more than 200 papers (according to Google Scholar). The application of his research on Link Discovery algorithms has yielded best research papers at ISWC 2011 and ESWC 2013 as well as best-paper runner-up at Semantics 2015.

Dr. Irini Fundulaki is a Principal Researcher at the Institute of Computer Science-FORTH and the Head of the W3C Greece Office. She finished her PhD in 2003 on the topic of data integration for structured XML sources. Her research interests lie in the area of Web Data Management and more specifically, on benchmarking RDF engines, RDF provenance and access control. She has worked with Semantic Web Technologies for the last 10 years and has extensive experience with Linked Data theory and technologies. She represented FORTH in the Linked Data Benchmark Council project (LDBC) and is currently responsible on behalf of FORTH for the H2020 Holistic Benchmarking of Big Linked Data (HOBBIT) Project. In the context of LDBC she was responsible for the development of reasoning and instance matching benchmarks for RDF data, whereas for HOBBIT she will lead the effort regarding benchmarks for linking analysis and versioning of Linked Data. She is one of the authors of the ISWC 2015 and ESWC 2016 tutorial on Benchmarking Instance Matching for Linked Data, and one of the authors of the ESWC 2016 tutorial on Benchmarks for RDF query engines. 

Dr. Mohamed Ahmed Sherif is a postdoctoral researcher at the the Agile Knowledge Engineering and Semantic Web research group at University of Leipzig. In 2016, he finished his doctorate with at the University of Leipzig under the title “Automating Geospatial RDF Dataset Integration and Enrichment”. Mohamed’s main research fields are machine learning, link discovery specially for geospatial data, semantic web data integration and enrichment. Mohamed developed number of algorithms for link specification learning, data repair, load balancing and spatial/temporal relation discovery. Currently, Mohamed is leading the EU research project SLIPO and partake in many other projects such as HOBBIT, GEISER, SAKE and LinkingLOD2. Also, he is the main developer of the DEER framework and one of the main developers of the LIMES framework.