Projects per year
Organisation profile
Organisation profile
The Data, Knowledge, and Web Engineering group at Aalborg University is a leading research collective that focuses on data engineering, data science, and advanced machine learning methods. We participate in a number of cross-disciplinary research efforts in different areas, including bio science, health, and sustainability assessment, and closely collaborate with other groups and departments.
Our joint ambition is to bring meaning to large amounts of heterogeneous data and exploit it in the best possible way for a broad range of use cases and applications.
DATA
Our research in data engineering and data science covers the entire big data value chain from data extraction, integration, management, exploration, searching, querying, analytics, data mining, information retrieval, recommender systems to machine-learning-driven approaches for interdisciplinary data science.
In particular, we contribute to the next generation of intelligent information systems by developing breakthrough technologies based on graphs and human-generated data.
KNOWLEDGE
Our research in knowledge engineering and knowledge-based systems covers extracting, predicting, managing, and exploring knowledge. We study and develop methods for:
- extracting knowledge from diverse types of data
- utilizing knowledge in prediction tasks including natural language understanding, translation, information retrieval, recommender systems, and social network analysis
- managing, querying, analyzing, and exploring knowledge
In particular, we focus on methods for representation learning and embeddings, natural language understanding as well as knowledge graph management and querying in heterogeneous ecosystems and in consideration of provenance, personalization, user behaviour analysis, and privacy.
WEB
Our research in Web science concerns both the Web as a subject of research as well as the Web as a technological infrastructure. We are actively advancing the state of the art in Web social networks analytics, recommender systems, Web data management and querying, online data streaming services as well as other Web science and engineering methods.
In particular, we focus on the use and development of decentralized knowledge graphs and Semantic Web technologies as well data management methods and architectures for heterogeneous and dynamic data on the Web.
For more information see
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Collaborations from the last five years
Profiles
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Christian Tovgaard Aebeloe
- The Technical Faculty of IT and Design - Assistant Professor
- Department of Computer Science - Assistant Professor
- Data, Knowledge and Web Engineering - Assistant Professor
Person: VIP
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Johannes Bjerva
- The Technical Faculty of IT and Design - Associate Professor
- Department of Computer Science - Associate Professor
- Data, Knowledge and Web Engineering - Associate Professor
Person: VIP
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Rasmus Bartholomay Vikøren Borup
- The Technical Faculty of IT and Design - Student Programme Counsellor, Student Teacher, Student Study Counselor
- Department of Computer Science - Student Programme Counsellor, Student Teacher, Student Study Counselor
- Data, Knowledge and Web Engineering - Student Teacher
Person: VIP, TAP
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Digital Twins for Abundant Feedback: Novel Feedback Paradigms via Explainable Multilingual Natural Language Processing
Bjerva, J., Lindsay, E. & Zhang, M.
01/01/2024 → 31/12/2025
Project: Research
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Multilingual Modelling for Resource-Poor Languages
Bjerva, J., Lent, H. C., Chen, Y., Ploeger, E., Fekete, M. R. & Lavrinovics, E.
01/09/2022 → 31/08/2025
Project: Research
Research output
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A Call for Consistency in Reporting Typological Diversity
Poelman, W., Ploeger, E., de Lhoneux, M. & Bjerva, J., 17 Mar 2024, Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP. Association for Computational LinguisticsResearch output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open Access -
CreoleVal: Multilingual Multitask Benchmarks for Creoles
Lent, H., Tatariya, K., Dabre, R., Chen, Y., Fekete, M., Ploeger, E., Zhou, L., Armstrong, R-A., Eijansantos, A., Malau, C., Heje, H. E., Lavrinovics, E., Kanojia, D., Belony, P., Bollmann, M., Grobol, L., de Lhoneux, M., Hershcovich, D., DeGraff, M., Søgaard, A., & 1 others , 10 Apr 2024, (Accepted/In press) In: Transactions of the Association for Computational Linguistics (TACL). 28 p.Research output: Contribution to journal › Journal article › Research › peer-review
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Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?
Rodriguez, J. M., Tavassoli, N., Levy, E., Lederman, G., Sivov, D., Lissandrini, M. & Mottin, D., 2024, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings: ECIR 2024. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). p. 161-176 16 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Datasets
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The Yelp Collaborative Knowledge Graph
Corfixen, M. (Creator), Olesen, M. (Creator), Heede, T. (Creator), Nielsen, C. F. P. (Creator), Lissandrini, M. (Contributor), Dell'Aglio, D. (Contributor) & Jendal, T. E. (Contributor), Zenodo, 7 May 2023
DOI: 10.5281/zenodo.7878446, https://zenodo.org/record/7878446
Dataset
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Automatically Extracted SHACL Shapes for WikiData, DBpedia, YAGO-4, and LUBM & Associated Coverage Statistics
Rabbani, K. (Contributor), Lissandrini, M. (Contributor) & Hose, K. (Contributor), Zenodo, 2023
DOI: 10.5281/zenodo.7598613, https://zenodo.org/record/7598613
Dataset
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Exploratory Search Workload (ESW) Collection
Lissandrini, M. (Contributor) & Silvello, G. (Contributor), Zenodo, 2023
DOI: 10.5281/zenodo.7908167, https://zenodo.org/record/7908167
Dataset
Prizes
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EliteForsk- Elite Research Travel Grant 2024
Chen, Yiyi (Recipient), 26 Feb 2024
Prize: Research, education and innovation prizes
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NLP4KGC Best Paper Award
Sagi, Tomer (Recipient), Zaitoun, Antonio (Recipient) & Hose, Katja (Recipient), 30 Apr 2023
Prize: Conference prizes
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ESWC 2023 Best Demo Award
Pelgrin, Olivier Paul (Recipient), Taelman, Ruben (Recipient), Galárraga, Luis (Recipient) & Hose, Katja (Recipient), 2023
Prize: Conference prizes
Activities
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UFM: Uddannelses- og Forskningsmødet: Hvordan kan kunstig intelligens støtte faglig udvikling?
Johannes Bjerva (Speaker)
11 Apr 2024Activity: Talks and presentations › Talks and presentations in private or public companies
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A Call for Consistency in Reporting Typological Diversity
Esther Ploeger (Lecturer)
22 Mar 2024Activity: Talks and presentations › Conference presentations
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Multilingual Gradient Word-Order Typology from Universal Dependencies
Esther Ploeger (Lecturer)
19 Mar 2024Activity: Talks and presentations › Conference presentations
Press/Media
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DEBAT: Bør ny viden altid fagfællebedømmes før ibrugtagning?
Andreas Pihl, Milan Mohammad, Johannes Bjerva & Jens Søndergaard
02/04/2024
1 Media contribution
Press/Media: Press / Media
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Forskerforum: Kunstig intelligens kan overtage flest arbejdsopgaver på universiteterne
22/03/2024
1 Media contribution
Press/Media: Press / Media
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