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Semantic Web Research

Photo: Karl Öfverström

The Semantic Web is an extension of the traditional Web in which interlinked data with well-described semantics has been added in a machine-processable form. As a result, we can view the whole Web as a large set of interconnected knowledge bases that can be queried and browsed both by software systems and by human users.

Research into the Semantic Web at LiU includes areas such as:

  • Ontologies and ontology engineering (ontology design patterns, ontology alignment and completion, ontology and alignment visualization).
  • Graph databases and triple stores.
  • Querying interlinked data on the web.
  • RDF stream processing
  • Complex event processing.
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Our group

We are researchers from different labs in the Department of Computer and Information Science (IDA) at LiU, with a common interest in the Semantic Web.

Research leaders

Faculty

Photo of Henrik Eriksson

Henrik Eriksson

Head of Department, Professor, Docent
Photo of Eva Blomqvist

Eva Blomqvist

Professor, Head of Unit
Photo of Olaf Hartig

Olaf Hartig

Senior Associate Professor, Head of Unit
Photo of Patrick Lambrix

Patrick Lambrix

Professor

Junior researchers

Photo of Daniel de Leng

Daniel de Leng

Assistant Professor
Photo of Huanyu Li

Huanyu Li

Assistant Professor
Photo of Robin Keskisärkkä

Robin Keskisärkkä

Associate Professor

Doctoral students

Photo of Javad Saeedizade

Javad Saeedizade

PhD student
Photo of Adriana Concha

Adriana Concha

PhD student
Photo of Mina Abd Nikooie Pour

Mina Abd Nikooie Pour

PhD student
Photo of Mikael Christer Öyvind Lindekrans

Mikael Christer Öyvind Lindekrans

Placeholder for missing image of Riley Capshaw

Riley Capshaw

PhD student

Publication list

2026

Ying Li, Patrick Lambrix (2026) Ontology-based Repairing of ELH⊥ Knowledge Graphs 30th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, p. 555-564 (Conference paper) https://dx.doi.org/10.1016/j.procs.2026.09.131
Daniel de Leng, Robin Keskisärkkä, Volodymyr Kadzhaia, Pieter Bonte (2026) Fetch That Stream! RetrievR-Guided Virtual Linked Stream Discovery and Access Proceedings of the 25th International Semantic Web Conference, p. 385-402 (Conference paper) https://dx.doi.org/10.1007/978-3-032-42015-2_18
Simon Stier, Lukas Gold, Matthias Albert Popp, Simon Feiler, Gerhard Goldbeck, Yoav Nahshon, Andreas Räder, Jesper Friis, Simon Clark, Patrick Lambrix (2026) Towards Object-Oriented Linked Data Profiles for Material Science Proceedings of the Third International Workshop on Semantic Materials Science 2026, p. 53-65 (Conference paper) https://dx.doi.org/10.83095/ceurws_04299_005
John Lind, Erik Lignell, Johan Andersson, Adam Almqvist Richloow, Patrick Lambrix (2026) Ice Hockey Analytics: Development, Data, and Application THE SCIENCE OF ICE HOCKEY, p. 107-128 (Chapter in book) https://dx.doi.org/10.4324/9781003652472-5

Semantic Web Research Archive

News

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03 June 2026

LiU researcher wins award for real-time data integration breakthrough

A new approach from Linköping University allows applications to combine data from multiple sources in real time – a key capability for modern AI. The research has now been recognised with an international award.

Divisions

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Human-Centered Systems (HCS)

The Division of Human-Centered Systems is a division within the Department of Computer and Information Science. The division's research and teaching is focused on studying and improving the interaction between humans, technology, and society.
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Software and Systems (SAS)

The SAS division is part of the Department of Computer and Information Science. The division conducts research and education in software engineering and computer systems,  covering both basic research and projects in cooperation with industry.

Department

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Department of Computer and Information Science (IDA)

The Department of Computer and Information Science is one of the largest departments in northern Europe in its field. Research activity covers artificial intelligence, human-computer interaction, software and computer systems, and data science.