SPITFIRE: toward a semantic web of things. - Dennis Pfisterer; Kay Römer; Daniel Bimschas; Oliver Kleine; Richard Mietz; Cuong Truong; Henning Hasemann; Alexander Kröller; Max Pagel; Manfred Hauswirth; Marcel Karnstedt; Myriam Leggieri; et al. (IEEE Commun. Mag., 2011)

Semantic-Service Provisioning for the Internet of Things. - Daniel Bimschas; Henning Hasemann; Manfred Hauswirth; Marcel Karnstedt; Oliver Kleine; Alexander Kröller; Myriam Leggieri; Richard Mietz; Alexandre Passant; Dennis Pfisterer; Kay Römer; Cuong Truong (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2011)

True self-configuration for the IoT. - Ioannis Chatzigiannakis; Henning Hasemann; Marcel Karnstedt; Oliver Kleine; Alexander Kröller; Myriam Leggieri; Dennis Pfisterer; Kay Römer; Cuong Truong (IOT, 2012)

RDF provisioning for the Internet of Things. - Henning Hasemann; Alexander Kröller; Max Pagel (IOT, 2012)

Annotating Real-World Objects Using Semantic Entities. - Henning Hasemann; Oliver Kleine; Alexander Kröller; Myriam Leggieri; Dennis Pfisterer (EWSN, 2013)

Panic Room: Experiencing Overload and Having Fun in the Process. - Björn Bankowski; Thiemo Clausen; Dirk Ehmen; Maximilian Ernestus; Henning Hasemann; Tobias Jura; Alexander Kröller; Dominik Krupke; Marco Nikander (HCI (21), 2014)

Developing Smart Homes Using the Internet of Things: How to demonstrate Your System. - Ioannis Chatzigiannakis; Jan Philipp Drude; Henning Hasemann; Alexander Kröller (HCI (21), 2014)

The Wiselib TupleStore: A Modular RDF Database for the Internet of Things. - Henning Hasemann; Alexander Kröller; Max Pagel (CoRR, 2014)

SPARQL for Networks of Embedded Systems. - Dennis Boldt; Henning Hasemann; Marcel Karnstedt; Alexander Kroeller; Christian von der Weth (WI-IAT (1), 2015)

Embedding knowledge: fusing the internet of things with the semantic web. - Henning Hasemann (2015)

Deterministic local algorithms, unique identifiers, and fractional graph colouring. - Henning Hasemann; Juho Hirvonen; Joel Rybicki; Jukka Suomela (Theor. Comput. Sci., 2016)

Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users. - Peter Udo Diehl; Hannes Zilly; Felix Sattler; Yosef Singer; Kevin Kepp; Mark Berry; Henning Hasemann; Marlene Zippel; Müge Kaya; Paul Meyer-Rachner; Annett Pudszuhn; Veit M. Hofmann; et al. (CoRR, 2023)