6 citations · 14 across the 12 of their papers we have counts for
13 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…
How Far Are LLMs from Symbolic Planners? An NLP-Based Perspective
Ma'ayan Armony, Albert Meroño-Peñuela, Gerard Canal
AI planning provides agents the ability to act autonomously towards achieving a goal in a given environment. Recent advances in Large Language Models (LLMs) have introduced the pro…
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…
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…
Knowledge-Enhanced Program Repair for Data Science Code
Shuyin Ouyang, Jie M. Zhang, Zeyu Sun +1
This paper introduces DSrepair, a knowledge-enhanced program repair method designed to repair the buggy code generated by LLMs in the data science domain. DSrepair uses knowledge g…
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…
Improving Ontology Requirements Engineering with OntoChat and Participatory Prompting
Yihang Zhao, Bohui Zhang, Xi Hu +6
Past ontology requirements engineering (ORE) has primarily relied on manual methods, such as interviews and collaborative forums, to gather user requirements from domain experts, e…
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…
User Experience In Dataset Search
Yihang Zhao, Albert Meroño-Peñuela, Elena Simperl
This research investigates User Experience (UX) issues in dataset search, targeting Google Dataset Search and data.europa.eu. It focuses on 6 areas within UX: Initial Interaction,…
The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata
Jacopo de Berardinis, Valentina Anita Carriero, Albert Meroño-Peñuela +2
The semantic description of music metadata is a key requirement for the creation of music datasets that can be aligned, integrated, and accessed for information retrieval and knowl…
Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata
Bohui Zhang, Ioannis Reklos, Nitisha Jain +2
In this work, we explore the use of Large Language Models (LLMs) for knowledge engineering tasks in the context of the ISWC 2023 LM-KBC Challenge. For this task, given subject and…