Semantic Web research at LiU
Our groupWe are researchers from different labs of LiU's Department of Computer and Information Science (IDA) with a common interest in various aspects of the Semantic Web.
Our fieldThe Semantic Web is an extension of the traditional Web towards having machine-processable content and interlinked data on the Web, with well-described semantics. Ideally, we would be able to view the whole Web as a large set of interconnected databases that can be queried and browsed by software systems as well as by human users. Semantic Web research 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 and complex event processing, as well as applications of these technologies in a number of fields, including open data, security, decision support systems, e-health and e-science.
Latest blog posts and newsConducting and reporting on empirical user studies in Semantic Web contexts
Dagstuhl seminar on Knowledge Graphs
LiU Semantic Web research at The Web Conference 2018
New publicationsUser validation in ontology alignment: functional assessment and impact, The Knowledge Engineering Review, 2019.
A Method for Extending Ontologies with Application to the Materials Science Domain
Data Science Journal, 2019.
RSP-QL*: Enabling Statement-Level Annotations in RDF Streams
OPT+: A Monotonic Alternative to OPTIONAL in SPARQL
Journal of Web Engineering, 2019.
Drivers for the development of an Animal Health Surveillance Ontology (AHSO)
Preventive Veterinary Medicine, 2019.
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Page responsible: Olaf Hartig
Last updated: 2017-01-22