Tourism-type ontology framework for tourism-type classification, naming, and knowledge organization

P Zhang, J Wang, R Li - Heliyon, 2023 - cell.com
The names of tourism types formed by scholars and practitioners reflect the connotations of
various tourism types from different aspects and carry a wealth of tourism knowledge. The …

Interpretable ontology extension in chemistry

M Glauer, A Memariani, F Neuhaus… - Semantic …, 2023 - content.iospress.com
Reference ontologies provide a shared vocabulary and knowledge resource for their
domain. Manual construction and annotation enables them to maintain high quality, allowing …

[HTML][HTML] HeNeCOn: An ontology for integrative research in Head and Neck cancer

L Hernández, E Estévez-Priego, L López-Pérez… - International Journal of …, 2024 - Elsevier
Abstract Background Head and Neck Cancer (HNC) has a high incidence and prevalence in
the worldwide population. The broad terminology associated with these diseases and their …

医学知识图谱构建技术及发展现状研究.

黄贺瑄, 王晓燕, 顾正位, 刘静… - Journal of Computer …, 2023 - search.ebscohost.com
知识图谱作为人工智能的重要分支, 因其强大的语义处理能力和数据组织能力,
可以全面整合医学概念, 挖掘潜在医学知识, 已成为医学智能化发展的重要手段. 鉴于此 …

Text-to-ontology mapping via natural language processing with application to search for relevant ontologies in catalysis

L Korel, U Yorsh, AS Behr, N Kockmann, M Holeňa - Computers, 2023 - mdpi.com
The paper presents a machine-learning based approach to text-to-ontology mapping. We
explore a possibility of matching texts to the relevant ontologies using a combination of …

Neuro-symbolic semantic learning for chemistry

M Glauer, T Mossakowski, F Neuhaus… - Compendium of …, 2023 - ebooks.iospress.nl
Ontologies represent human domain expertise symbolically in a way that is accessible to
human experts and suitable for a variety of applications. As a result, they are widely used in …

[HTML][HTML] Towards similarity-based differential diagnostics for common diseases

K Slater, A Karwath, JA Williams, S Russell… - Computers in biology …, 2021 - Elsevier
Ontology-based phenotype profiles have been utilised for the purpose of differential
diagnosis of rare genetic diseases, and for decision support in specific disease domains …

Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels

Y Fang, P Ryan, C Weng - Journal of the American Medical …, 2024 - academic.oup.com
Objectives To automatically construct a drug indication taxonomy from drug labels using
generative Artificial Intelligence (AI) represented by the Large Language Model (LLM) GPT …

A Validated Ontology for Metareasoning in Intelligent Systems

MF Caro, MT Cox, RE Toscano-Miranda - Journal of Intelligence, 2022 - mdpi.com
Metareasoning suffers from the heterogeneity problem, in which different researchers build
diverse metareasoning models for intelligent systems with comparable functionality but …

Automated and explainable ontology extension based on deep learning: A case study in the chemical domain

A Memariani, M Glauer, F Neuhaus… - arXiv preprint arXiv …, 2021 - arxiv.org
Reference ontologies provide a shared vocabulary and knowledge resource for their
domain. Manual construction enables them to maintain a high quality, allowing them to be …