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Semantic Web Research

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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

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
Photo of Patrick Lambrix

Patrick Lambrix

Professor, Head of Division
Photo of Eva Blomqvist

Eva Blomqvist

Senior Associate Professor
Photo of Olaf Hartig

Olaf Hartig

Senior Associate Professor
Photo of Niklas Carlsson

Niklas Carlsson

Senior Associate Professor

Organisation - divisions

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Human-Centered Systems (HCS)

The Division for Human-Centered Systems is part of the Department of Computer and Information Science. Research and teaching are conducted in the areas of human-centered computing, cognitive science, and information systems.
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Database and Information Techniques (ADIT)

The Division of Database and Information Techniques is part of the Department of Computer and Information Science. The division consists of several research groups, each of which has its own research profile.

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.

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