Projekter pr. år
Organisationsprofil
Organisationsprofil
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
Fingerprint
Samarbejde i de sidste fem år
Profiler
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Christian Tovgaard Aebeloe
- Det Tekniske Fakultet for IT og Design - Adjunkt
- Institut for Datalogi - Adjunkt
- Data, Knowledge and Web Engineering - Adjunkt
Person: VIP
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Johannes Bjerva
- Det Tekniske Fakultet for IT og Design - Lektor
- Institut for Datalogi - Lektor
- Data, Knowledge and Web Engineering - Lektor
Person: VIP
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Rasmus Bartholomay Vikøren Borup
- Det Tekniske Fakultet for IT og Design - Studenterstudievejleder, Studenterunderviser
- Institut for Datalogi - Studenterstudievejleder, Studenterunderviser
- Data, Knowledge and Web Engineering - Studenterunderviser
Person: VIP, TAP
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HEREDITARY: Heterogeneous semantic data integratIon for the gut-brain interplay
01/01/2024 → 31/12/2027
Projekter: Projekt › Forskning
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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
Projekter: Projekt › Forskning
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DarkScience: Illuminating microbial dark matter through data science
Albertsen, M., Hose, K., Nielsen, T. D., Heidelbach, S., Knudsen, K. S., Sereika, M., Corfixen, M., Celikkanat, A., Masegosa, A., Sagi, T., Nissen, J., Heede, T. & Kirkegaard, R. H.
01/11/2022 → …
Projekter: Projekt › Forskning
Publikationer
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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 LinguisticsPublikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgang -
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 flere , 10 apr. 2024, (Accepteret/In press) I: Transactions of the Association for Computational Linguistics (TACL). 28 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › 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. (red.). s. 161-176 16 s.Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Forskningsdatasæt
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The Yelp Collaborative Knowledge Graph
Corfixen, M. (Ophavsperson), Olesen, M. (Ophavsperson), Heede, T. (Ophavsperson), Nielsen, C. F. P. (Ophavsperson), Lissandrini, M. (Bidrager), Dell'Aglio, D. (Bidrager) & Jendal, T. E. (Bidrager), Zenodo, 7 maj 2023
DOI: 10.5281/zenodo.7878446, https://zenodo.org/record/7878446
Datasæt
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Semantic Table Search Dataset
Leventidis, A. (Ophavsperson), Christensen, M. P. (Ophavsperson), Lissandrini, M. (Ophavsperson), Di Rocco, L. (Ophavsperson), Miller, R. J. (Ophavsperson) & Hose, K. (Ophavsperson), Zenodo, 2023
DOI: 10.5281/zenodo.8082116, https://zenodo.org/record/8082116
Datasæt
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Semantic Table Search Dataset
Leventidis, A. (Bidrager), Lissandrini, M. (Bidrager), Di Rocco, L. (Bidrager), Miller, R. J. (Bidrager) & Hose, K. (Bidrager), Zenodo, 2023
DOI: 10.5281/zenodo.7684061, https://zenodo.org/record/7684061
Datasæt
Priser
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EliteForsk-rejsestipendium 2024
Chen, Yiyi (Modtager), 26 feb. 2024
Pris: Forsknings- uddannelses og innovationspriser
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NLP4KGC Best Paper Award
Sagi, Tomer (Modtager), Zaitoun, Antonio (Modtager) & Hose, Katja (Modtager), 30 apr. 2023
Pris: Konferencepriser
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ESWC 2023 Best Demo Award
Pelgrin, Olivier Paul (Modtager), Taelman, Ruben (Modtager), Galárraga, Luis (Modtager) & Hose, Katja (Modtager), 2023
Pris: Konferencepriser
Aktiviteter
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UFM: Uddannelses- og Forskningsmødet: Hvordan kan kunstig intelligens støtte faglig udvikling?
Johannes Bjerva (Oplægsholder)
11 apr. 2024Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed
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A Call for Consistency in Reporting Typological Diversity
Esther Ploeger (Foredragsholder)
22 mar. 2024Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg
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Multilingual Gradient Word-Order Typology from Universal Dependencies
Esther Ploeger (Foredragsholder)
19 mar. 2024Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg
Presse/medier
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DEBAT: Bør ny viden altid fagfællebedømmes før ibrugtagning?
Andreas Pihl, Milan Mohammad, Johannes Bjerva & Jens Søndergaard
02/04/2024
1 Mediebidrag
Presse/medie
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Forskerforum: Kunstig intelligens kan overtage flest arbejdsopgaver på universiteterne
22/03/2024
1 Mediebidrag
Presse/medie
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