Project Details
Description
The Discovery Lab studies technology, infrastructure and methods to develop intelligent services for researchers, focusing on finding and interpreting scientific literature, to formulate hypotheses, and to interpret data. The lab operates at the crossroads of Knowledge Representation, Machine Learning and Natural Language Processing. We are advancing the ability to construct, use and study large-scale research knowledge graphs that integrate knowledge across heterogeneous scientific content and data. This will allow for a deeper, richer use of content and data across a larger span of domains than possible thus far, and enables us to grow the knowledge graph faster and more reliably, and provide better recommendations, more contextual question answering, more successful query construction, and the automatic generation of hypotheses. In other words: to drive scientific discovery using machine intelligence.
The Discovery Lab is an ICAI lab, funded by Elsevier, Vrije Universiteit Amsterdam and the University of Amsterdam.
The Discovery Lab is an ICAI lab, funded by Elsevier, Vrije Universiteit Amsterdam and the University of Amsterdam.
| Short title | DiscoveryLab |
|---|---|
| Acronym | DL |
| Status | Finished |
| Effective start/end date | 10/1/19 → 03/31/25 |
Keywords
- knowledge graph
- machine learning
- question answering
- querying
- learning
- science
- discovery
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Prizes
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Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Arakelyan, E., Minervini, P., Daza, D., Cochez, M. & Augenstein, I., Jul 1 2023, ArXiv. New Orleans: ArXiv.orgResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
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A knowledge graph approach to predict and interpret disease-causing gene interactions
Renaux, A., Terwagne, C., Cochez, M., Tiddi, I., Nowé, A. & Lenaerts, T., 2023, In: BMC Bioinformatics. 24, 1, p. 324 1 p., 324.Research output: Contribution to journal › Article › peer-review
21 Link opens in a new tab Scopus citations -
A Machine With Human-Like Memory Systems
Kim, T., Cochez, M., Francois-Lavet, V., Neerincx, M. & Vossen, P., 2023, arXiv preprint arXiv:2204.01611.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Press/Media
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300 miljoen extra voor Amsterdams AI-onderzoek
Hoekstra, R. & Tsatsaronis, G.
12/12/19
1 Media contribution
Press/Media
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Elsevier Artificial Intelligence Lab opent in Amsterdam
Rijke, M., Harmelen, F., Siebert, M., Haak, W., Groth, P., Hoekstra, R. & Tsatsaronis, G.
11/18/18
2 Media contributions
Press/Media