2017 - Royal Netherlands Academy of Arts and Sciences
2014 - Member of Academia Europaea
Frank van Harmelen mainly focuses on World Wide Web, Ontology, Semantic Web, Information retrieval and Artificial intelligence. His work in the fields of World Wide Web, such as Semantic Web Stack, Web Ontology Language, Semantic Web Rule Language and OWL-S, intersects with other areas such as Information engineering. His Ontology research includes elements of Data science, Information integration and Knowledge management.
His Semantic Web study also includes
His primary areas of investigation include Semantic Web, Information retrieval, World Wide Web, Ontology and Artificial intelligence. Frank van Harmelen has researched Semantic Web in several fields, including Data science and Knowledge representation and reasoning. His studies deal with areas such as Context, Metadata and Set as well as Information retrieval.
His study ties his expertise on Semantics together with the subject of World Wide Web. His Ontology study frequently links to related topics such as Ontology. His Social Semantic Web research incorporates themes from Web standards, Semantic computing, Semantic Web Stack and Data Web.
Frank van Harmelen spends much of his time researching Information retrieval, Semantic Web, Linked data, Artificial intelligence and World Wide Web. His work on Semantic similarity, Ontology and SPARQL as part of general Information retrieval research is frequently linked to Evidence-based practice, bridging the gap between disciplines. His Semantic Web research integrates issues from Metadata, Vocabulary and Data science.
His research on Linked data also deals with topics like
The scientist’s investigation covers issues in Information retrieval, Semantic Web, Linked data, Data science and Artificial intelligence. In the field of Information retrieval, his study on RDF overlaps with subjects such as Evidence-based practice. Semantic Web is the subject of his research, which falls under World Wide Web.
His research in the fields of Social Semantic Web and Web modeling overlaps with other disciplines such as European community. His research in Data science intersects with topics in Domain, Context, Stream reasoning and Usability. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Differentiable function, Semantics and Natural language processing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A semantic Web primer
Grigoris Antoniou;Paul Groth;Frank van van Harmelen;Rinke Hoekstra.
From SHIQ and RDF to OWL: the making of a Web Ontology Language
Ian Horrocks;Peter F. Patel-Schneider;Frank van Harmelen.
Journal of Web Semantics (2003)
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
Jeen Broekstra;Arjohn Kampman;Frank van Harmelen.
international semantic web conference (2002)
Web ontology language: Owl
Grigoris Antoniou;Frank van Harmelen.
Handbook on ontologies (2009)
Web Ontology Language: OWL
Grigoris Antoniou;Frank van Harmelen;Steffen Staab;Rudi Struder.
Handbook on Ontologies in Information Systems (2003)
Towards the Semantic Web: Ontology-driven Knowledge Management
John Davies;Dieter Fensel;Frank van Harmelen.
Towards the Semantic Web
John Davies;Dieter Fensel;Frank Van Harmelen.
Web Ontology Language
DL McGuinness;Frank van Harmelen.
W3C Recommendation. (2004)
Handbook of Knowledge Representation
Frank van Harmelen;Vladimir Lifschitz;Bruce Porter.
OIL in a Nutshell
Dieter Fensel;Ian Horrocks;Frank van Harmelen;Stefan Decker.
knowledge acquisition modeling and management (2000)
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