Focus Group: Web-based Systems

(Prof. Bizer)

We explore technical and empirical questions concerning the development of global, decentralized information environments. Our current focus is the evolution of the World Wide Web from a medium for the publication of documents into a global dataspace. Our empirical work is accompanying this evolution by monitoring the adoption of Semantic Markup and Linked Data technologies on the Web. Our technical work focuses on integrating data from large numbers of Web data sources and includes topics such as information extraction, identity resolution, schema matching, data fusion, and data search. We apply the developed methods for the tasks of integrating product data from large numbers of e-shops as well as for creating large-scale knowledge bases such as DBpedia.

People

Current Team:

Alumni:

Awards

Publications

2022

2021

2020

2019

2018

  • Bizer, C., Vidal, M.-E. and Skaf-Molli, H. (2018). Linked Open Data. In , Encyclopedia of Database Systems (S. 2096–2101). New York, NY: Springer.
  • Bizer, C., Vidal, M.-E. and Weiss, M. (2018). RDF Technology. In , Encyclopedia of Database Systems (S. 3106–3109). New York, NY: Springer.
  • Bizer, C., Vidal, M.-E. and Weiss, M. (2018). Resource Description Framework. In , Encyclopedia of Database Systems (S. 3221–3224). New York, NY: Springer.
  • Kleppmann, B., Bizer, C., Yaqub, E., Temme, F., Schlunder, P., Arnu, D. and Klinkenberg, R. (2018). Density- and correlation-based table extension. In , LWDA 2018 : Proceedings of the Conference “Lernen, Wissen, Daten, Analysen” Mannheim, Germany, August 22–24, 2018 (S. 191–194). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
  • Ristoski, P., Petrovski, P., Mika, P. and Paulheim, H. (2018). A machine learning approach for product matching and categorization. Semantic Web, 9, 707–728.

2017

2016

2015

2014

2013