Knowledge graphs for the life sciences: Recent developments, challenges and opportunities

J Chen, H Dong, J Hastings, E Jiménez-Ruiz… - arXiv preprint arXiv …, 2023 - arxiv.org
The term life sciences refers to the disciplines that study living organisms and life processes,
and include chemistry, biology, medicine, and a range of other related disciplines. Research …

DeepOnto: A Python package for ontology engineering with deep learning

Y He, J Chen, H Dong, I Horrocks, C Allocca… - Semantic …, 2024 - journals.sagepub.com
Integrating deep learning techniques, particularly language models (LMs), with knowledge
representation techniques like ontologies has raised widespread attention, urging the need …

[HTML][HTML] Use of SNOMED CT in Large Language Models: Scoping Review

E Chang, S Sung - JMIR Medical Informatics, 2024 - medinform.jmir.org
Background: Large language models (LLMs) have substantially advanced natural language
processing (NLP) capabilities but often struggle with knowledge-driven tasks in specialized …

Ontology enrichment from texts: A biomedical dataset for concept discovery and placement

H Dong, J Chen, Y He, I Horrocks - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Mentions of new concepts appear regularly in texts and require automated approaches to
harvest and place them into Knowledge Bases (KB), eg, ontologies and taxonomies …

Taxonomy completion via implicit concept insertion

J Shi, H Dong, J Chen, Z Wu, I Horrocks - Proceedings of the ACM on …, 2024 - dl.acm.org
\beginabstract High quality taxonomies play a critical role in various domains such as e-
commerce, web search and ontology engineering. While there has been extensive work on …

[PDF][PDF] A language model based framework for new concept placement in ontologies

I Horrocks - 2024 - 2024.eswc-conferences.org
We investigate the task of inserting new concepts extracted from texts into an ontology using
language models. We explore an approach with three steps: edge search which is to find a …

医学领域知识融合研究进展.

彭琳, 宋珺, 熊玲珠, 杜建强, 叶青… - Journal of Computer …, 2024 - search.ebscohost.com
医学领域知识融合旨在将分散在各个知识图谱或不同数据源中的医学知识进行整合,
形成一个更全面的知识图谱, 在提高知识质量, 扩大规模, 提高医学知识利用率和共享性等方面 …

Argument-Aware Approach To Event Linking

I Hsu, Z Xue, N Pochh, S Bansal, P Natarajan… - arXiv preprint arXiv …, 2024 - arxiv.org
Event linking connects event mentions in text with relevant nodes in a knowledge base (KB).
Prior research in event linking has mainly borrowed methods from entity linking, overlooking …

Ontology Text Alignment: Aligning Textual Content to Terminological Axioms

J Chen, H Dong, J Chen, I Horrocks - ECAI 2024, 2024 - ebooks.iospress.nl
Despite the impressive advancements in Large Language Models (LLMs), their ability to
perform reasoning and provide explainable outcomes remains a challenge, underscoring …

A Language Model based Framework for New Concept Placement in Ontologies

H Dong, J Chen, Y He, Y Gao, I Horrocks - European Semantic Web …, 2024 - Springer
We investigate the task of inserting new concepts extracted from texts into an ontology using
language models. We explore an approach with three steps: edge search which is to find a …