11 papers
Design Guidance Towards Addressing Over-Reliance on AI in Sensemaking
Yihang Zhao, Wenxin Zhang, Amy Rechkemmer +2
Sensemaking in collaborative work and learning is increasingly supported by GenAI systems, however, emerging evidence suggests that poorly designed GenAI systems tend to provide ex…
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…
Schema Generation for Large Knowledge Graphs Using Large Language Models
Bohui Zhang, Yuan He, Lydia Pintscher +2
Schemas play a vital role in ensuring data quality and supporting usability in the Semantic Web and natural language processing. Traditionally, their creation demands substantial i…
How Far Are LLMs from Symbolic Planners? An NLP-Based Perspective
Ma'ayan Armony, Albert Meroño-Peñuela, Gerard Canal
The reasoning and planning abilities of Large Language Models (LLMs) have been a frequent topic of discussion in recent years. Their ability to take unstructured planning problems…
Filling in the Blanks? A Systematic Review and Theoretical Conceptualisation for Measuring WikiData Content Gaps
Marisa Ripoll, Neal Reeves, Anelia Kurteva +3
Wikidata is a collaborative knowledge graph which provides machine-readable structured data for Wikimedia projects including Wikipedia. Managed by a community of volunteers, it has…
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…