I’m a postdoctoral researcher at the Vrije Universiteit Amsterdam, specifically in the group Knowledge in Artificial Intelligence (KAI) group and the Discovery Lab. I work on ontology evolution in context of the ontologies downstream applications.
APPOINTMENTS
2021-09-01 – ongoing
Postdoctoral Researcher at Vrije Universiteit Amsterdam, Netherlands
2018-09-01 – 2021-08-31
Doctoral Student at University of Zurich, Switzerland
Poster and Demo Chair of the 18th International Conference on Distsributed and Event-based Systems (DEBS 2024)
Web and Publicity Chair of the 20th Extended Semantic Web Conference (ESWC 2023)
RESEARCH INTERESTS
Knowledge Evolution and Change
Knowledge Engineering
Knowledge Change Impact
Semantic Web
PROJECTS
2022 – Published
ChImp - Change Impact Protégé Plugin
A Protege plugin that displays the impact of changes, while editing an ontology.
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2022 – Published
ChImp - Change Impact Protégé Plugin
Change Impact Protege Plugin.
A Protege plugin that displays the impact of changes, while editing an ontology.
27th October 2023 – Upcoming
Alice & Eve Workshop 2023
Alice & Eve is a free one-day workshop for celebrating women studying and working in computing! Alice & Eve aims to bring together talents in the field of computing. The 4th edition of this workshop will be hosted on 27th October 2023 by the University of Amsterdam.
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27th October 2023 – Upcoming
Alice & Eve Workshop 2023
Change Impact Protege Plugin.
Alice & Eve is a free one-day workshop for celebrating women studying and working in computing! Alice & Eve aims to bring together talents in the field of computing. The 4th edition of this workshop will be hosted on 27th October 2023 by the University of Amsterdam.
2020 and 2021
LifeGraph and VideoGraph
We used a knowledge graph to retrieve lifelogs and videos to participate in two information retrieval challenges with a team from DDIS (UZH).
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2020 and 2021
LifeGraph and VideoGraph
With a team from DDIS (Dynamic and Distributed Information systems, University of Zurich) we participated in two information retrieval challenges, the "Lifelog Search Challenge" and the video retrieval challenge. We used a knowledge graph in the background with a SPARQL interface to query. In the front end we modified the existing system called vitrivr slightly. The keywords were then mapped into triple patterns, also providing suggestions. The knowledge graph construction and systems are detailed here (LifeGraph) and here (VideoGraph).
We used a knowledge graph to retrieve lifelogs and videos to participate in two information retrieval challenges with a team from DDIS (UZH).