6 papers · 1 filter
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…
Machines in the Margins: A Systematic Review of Automated Content Generation for Wikipedia
Neal Reeves, Elena Simperl
Wikipedia is among the largest examples of collective intelligence on the Web with over 61 million articles covering over 320 languages. Although edited and maintained by an active…
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…
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
Ioannis Reklos, Jacopo de Berardinis, Elena Simperl +1
Knowledge Graphs (KGs) store human knowledge in the form of entities (nodes) and relations, and are used extensively in various applications. KG embeddings are an effective approac…
How an AI-ready National Data Library would help UK science
Albert Meroño-Peñuela, Joe Massey, Andrew Newman +1
In this paper, we provide a technical vision for key enabling elements for the architecture of the UK National Data Library (NDL) with a strong focus on building it as an AI-ready…