Research Output per year
Fingerprint Dive into the research topics where Knowledge Representation and Reasoning is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Semantic Web
Engineering & Materials Science
Ontology
Engineering & Materials Science
Semantics
Engineering & Materials Science
Metadata
Engineering & Materials Science
Knowledge representation
Engineering & Materials Science
Experiments
Engineering & Materials Science
Clinical Guidelines
Mathematics
Linked Data
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
prof. dr. Peter Boncz
- Faculty of Science, Computer Systems - Endowed Professor
- Network Institute - Endowed Professor
- Knowledge Representation and Reasoning - Endowed Professor
Person: Academic
Matteo De Carlo
- Faculty of Science, Artificial intelligence - PhD Candidate
- Network Institute - PhD Candidate
- Knowledge Representation and Reasoning - PhD Candidate
Person: Academic
prof. dr. F.A.H. van Harmelen
- Faculty of Science, Artificial intelligence - Full Professor
- Network Institute - Full Professor
- Knowledge Representation and Reasoning - Full Professor
Person: Academic
prof. dr. Z. Huang
- Faculty of Science, Artificial intelligence - Research Associate
- Network Institute - Research Associate
- Knowledge Representation and Reasoning - Research Associate
Person: Academic
drs. Laurens Rietveld
- Faculty of Science, Computer Science - Visiting Fellow
- Knowledge Representation and Reasoning - Visiting Fellow
Person: Academic
Research Output 1993 2020
User-centric pattern mining on knowledge graphs: An archaeological case study
Wilcke, W. X., de Boer, V., de Kleijn, M. T. M., van Harmelen, F. A. H. & Scholten, H. J., 2020, (Accepted/In press) In : Journal of Web Semantics.Research output: Contribution to Journal › Article › Academic › peer-review
Pipelines
Association rules
Transparency
Data mining
Data structures
A boxology of design patterns for hybrid learning and reasoning systems
van Harmelen, F. & Ten Teije, A., 8 Nov 2019, BNAIC/BENELEARN 2019 Proceedings of the Reference AI & ML Conference for Belgium, Netherlands & Luxemburg : Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) Brussels, Belgium, November 6-8, 2019. Beuls, K., Bogaerts, B., Bontempi, G., Geurts, P., Harley, N., Lebichot, B., Lenaerts, T., Louppe, G. & Van Eecke, P. (eds.). CEUR-WS, p. 1-2 2 p. (CEUR Workshop Proceedings; vol. 2491).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Knowledge engineering
Knowledge representation
Computer science
Learning systems
Software engineering
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems
van Harmelen, F. & ten Teije, A., Jan 2019, In : JOURNAL OF WEB ENGINEERING. 18, 1-3, p. 97-123 27 p.Research output: Contribution to Journal › Article › Academic › peer-review
A Multimodal Chatbot System for Enhancing Social Skills Training for Security Guards
de Bever, S., Formolo, D., Wang, S. & Bosse, T., Jul 2019, Human-Computer Interaction. Perspectives on Design: Thematic Area, HCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings. Kurosu, M. (ed.). Springer Verlag, Vol. 1. p. 499-513 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11566 LNCS).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Dialogue Systems
Customers
Enhancement
Experiments
Experiment
Classification of skin pigmented lesions based on deep residual network
Qi, Y., Lin, S. & Huang, Z., 2019, Health Information Science: 8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings. Wang, H., Siuly, S., Zhang, Y., Zhou, R., Martin-Sanchez, F. & Huang, Z. (eds.). Springer, p. 58-67 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11837 LNCS).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Skin
Adjustment
Patient treatment
Melanoma
Multi-class Classification
Activities 2009 2016
LOTUS: Adaptive Text Search for Big Linked Data
F. Ilievski (Speaker), W.G.J. Beek (Speaker), M.G.J. van Erp (Speaker), L.J. Rietveld (Speaker), K.S. Schlobach (Speaker)31 May 2016
Activity: Lecture / Presentation › Academic
Organisation CLARIAH LOD Workshop
M.G.J. van Erp (Speaker), V. de Boer (Speaker), R.J. Hoekstra (Speaker)12 Sep 2016
Activity: Lecture / Presentation › Academic
LOTUS: Adaptive Search for Big Linked Data
F. Ilievski (Speaker), W.G.J. Beek (Speaker), M.G.J. van Erp (Speaker), L.J. Rietveld (Speaker), K.S. Schlobach (Speaker)10 Nov 2016
Activity: Lecture / Presentation › Academic
IEEE Data Engineering Bulletin (Journal)
P.A. Boncz (Member of editorial board)2013
Activity: Peer review and Editorial work › Editorial work › Academic
File
Pragmatic Semantics for the Web of Data
S. Schlobach (Speaker), W.G.J. Beek (Speaker)2013
Activity: Lecture / Presentation › Academic
Prizes
1st prize for best LOD application (Netherlands)
W.G.J. Beek (Recipient), Laurens Rietveld (Recipient) & S. Schlobach (Recipient), 2015
Prize › Academic
3rd prize for best LOD application (Europe)
W.G.J. Beek (Recipient), Laurens Rietveld (Recipient) & S. Schlobach (Recipient), 2015
Prize › Academic
LOTUS: Adaptive Text Search for Big Linked Data
F. Ilievski (Recipient), W.G.J. Beek (Recipient), M.G.J. van Erp (Recipient), Laurens Rietveld (Recipient) & K.S. Schlobach (Recipient), 12 Sep 2016
Prize › Academic