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Katja Hose

Univ.Prof.in Dr.-Ing.in Dipl.-Inf.in

Research Focus

  • Information Systems Engineering: 30%
  • Logic and Computation: 70%

Research Areas

  • Information and Knowledge Engineering, Ontologies, Data Engineering, Web data extraction and integration, Information Integration, Knowledge Management, Semantic Web, Data Quality, Distributed database systems, Data Warehousing, Data Integration, Linked Data, Open Data, Knowledge-Based Systems, Web-based Databases, Knowledge Graphs, Knowledge Graph Management Systems, Data Management, Artificial Intelligence, Data Extraction and Integration, Big Data, Database Systems, Databases, Scalable Systems
Katja Hose

About

My current research is rooted in data management and knowledge engineering and and spans theory, algorithms, and applications of Data Science including graph databases, knowledge graphs, querying, analytics, and machine learning.

In the past couple of years, I have gained extensive experience in interdisciplinary data science in collaborations with colleagues from bioscience, medicine, and environmental assessment.

Role

Contact

2023W

 

  • Recommending tasks based on search queries and missions / Garigliotti, D., Balog, K., Hose, K., & Bjerva, J. (2023). Recommending tasks based on search queries and missions. Natural Language Engineering, 1–25. https://doi.org/10.1017/S1351324923000219
  • Scientific Data Extraction from Oceanographic Papers / Veyhe, B. E., Sagi, T., & Hose, K. (2023). Scientific Data Extraction from Oceanographic Papers. In Y. Ding, J. Tang, J. Sequeda, C. Castillo, & G.-J. Houben (Eds.), WWW ’23 Companion: Companion Proceedings of the ACM Web Conference 2023 (pp. 800–804). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587595
  • Visualizing How-Provenance Explanations for SPARQL Queries / Galárraga, L., Hernández, D., Katim, A., & Hose, K. (2023). Visualizing How-Provenance Explanations for SPARQL Queries. In WWW ’23 Companion: Companion Proceedings of the ACM Web Conference 2023 (pp. 212–216). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587350
  • OntoEval: an Automated Ontology Evaluation System / Antonio Zaitoun, Tomer Sagi, & Katja Hose. (2023). OntoEval: an Automated Ontology Evaluation System. In Y. Ding, J. Tang, & J. Sequeda (Eds.), WWW ’23 Companion: Companion Proceedings of the ACM Web Conference 2023 (pp. 82–85). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587318
  • Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true / Garigliotti, D., Bjerva, J., Nielsen, F., Butzbach, A., Lyhne, I., Kørnøv, L., & Hose, K. (2023). Do bridges dream of water pollutants? Towards DreamsKG, a knowledge graph to make digital access for sustainable environmental assessment come true. In Y. Ding, J. Tang, & J. Sequeda (Eds.), WWW ’23 Companion: Companion Proceedings of the ACM Web Conference 2023 (pp. 724–730). ACM. https://doi.org/10.1145/3543873.3587590
  • Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus / Zaitoun, A., Sagi, T., & Hose, K. (2023). Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus. In Y. Ding, J. Tang, J. Sequeda, L. Aroyo, C. Castillo, & G.-J. Houben (Eds.), WWW ’23 Companion: Companion Proceedings of the ACM Web Conference 2023 (pp. 1127–1137). Association for Computing Machinery. https://doi.org/10.1145/3543873.3587617
  • Best Demo Award - GLENDA: Querying over RDF Archives with SPARQL
    2023 / European Semantic Web Conference (ESWC) 2023 / Greece / Website
  • Best Paper Award - Automated Ontology Evaluation: Evaluating Coverage and Correctness using a Domain Corpus
    2023 / International Workshop on Natural Language Processing for Knowledge Graph Creation (NLP4KGC) 2023 / USA / Website

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Katja Hose’s research profile in TISS .