4 citations · 9 across the 4 of their papers we have counts for
5 papers
Knowledge Prompting: How Knowledge Engineers Use Large Language Models
Elisavet Koutsiana, Johanna Walker, Michelle Nwachukwu +3
Despite many advances in knowledge engineering (KE), challenges remain in areas such as engineering knowledge graphs (KGs) at scale, keeping up with evolving domain knowledge, mult…
Talking Wikidata: Communication patterns and their impact on community engagement in collaborative knowledge graphs
Elisavet Koutsiana, Ioannis Reklos, Kholoud Saad Alghamdi +3
We study collaboration patterns of Wikidata, one of the world's largest open source collaborative knowledge graph (KG) communities. Collaborative KG communities, play a key role in…
Prompting Datasets: Data Discovery with Conversational Agents
Johanna Walker, Elisavet Koutsiana, Joe Massey +2
Can large language models assist in data discovery? Data discovery predominantly happens via search on a data portal or the web, followed by assessment of the dataset to ensure it…
Agreeing and Disagreeing in Collaborative Knowledge Graph Construction: An Analysis of Wikidata
Elisavet Koutsiana, Tushita Yadav, Nitisha Jain +2
In this work, we study disagreements in discussions around Wikidata, an online knowledge community that builds the data backend of Wikipedia. Discussions are essential in collabora…
OEKG: The Open Event Knowledge Graph
Simon Gottschalk, Endri Kacupaj, Sara Abdollahi +11
Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analy…