[HTML][HTML] Smell and taste disorders knowledge graph: answering questions using health data

A Tauqeer, I Hammid, S Aghaei, P Parvin… - Expert Systems with …, 2023 - Elsevier
Smell and taste disorders have become a more prominent issue due to their association with
Covid-19, and their impact on quality of life and health outcomes. However, pertinent …

An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource

M Ibrahim, S Gauch, O Salman, M Alqahtani - PeerJ Computer Science, 2021 - peerj.com
Background Clear language makes communication easier between any two parties. A
layman may have difficulty communicating with a professional due to not understanding the …

Evaluation of Enrichment in Ontology-based Knowledge Management System

NKD Hariyanti, L Linawati… - … on Smart-Green …, 2023 - ieeexplore.ieee.org
Ontology is an organization of knowledge that can represent knowledge in a structured
manner. An ontology-based Knowledge Management System is a system that combines …

Ontology population using CNN model: Application to COVID-19 diagnosis

N Mellal, A Saighi - … on Pattern Analysis and Intelligent Systems …, 2024 - ieeexplore.ieee.org
AI models and especially deep learning models have found applications across various
medical domains. While many studies focus on using electronic health records (EHRs) data …

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

JS Liang - Journal of Advanced Manufacturing Systems, 2024 - World Scientific
In collaborative manufacturing environment, the knowledge integration in collaborative
process is very crucial, especially the heterogeneous information distributed among various …

Comparative Evaluation of Keyphrase Extraction Tools for Semantic Analysis of Climate Change Scientific Reports and Ontology Enrichment

E Katsadaki, M Kokla - AGILE: GIScience Series, 2024 - agile-giss.copernicus.org
Keyphrase extraction is a process used for identifying important concepts and entities within
unstructured information sources to facilitate ontology enrichment, semantic analysis, and …

A new entropy-based heuristic for automatic enrichment of ontologies

R Mazouzi, H Tran, P Darmon - International Journal of …, 2023 - inderscienceonline.com
In this paper, we propose a new method for automatic ontology enrichment. The content of
the considered ontology in this work is a set of computer science skills, used to score and …

Question answering system for factoid questions about COVID-19 with natural language processing approach

I Indriati, RC Wihandika, PP Adikara… - AIP Conference …, 2024 - pubs.aip.org
In March 2020, Indonesia faced fast-spreading COVID-19 Disease. In this regard, self-
isolation serves as a solution for patients with mild symptoms due to the government's …

Automated Ontology Generator System Based on Linked Data

R Dos Santos, E Puerto, J Aguilar - 2023 XLIX Latin American …, 2023 - ieeexplore.ieee.org
In this work, an Automated Ontology Generator System (AOGS) is developed to
autonomously create and populated ontologies based on the linked data paradigm. AOGS …

[PDF][PDF] Automated Knowledge Graph Approach for Dataset Metadata Harmonisation

P Peña-Larena, M del Carmen Rodríguez-Hernández… - 2023 - ceur-ws.org
The importance of data in Europe's economy, industry, and society is widely recognized,
with data-driven innovation playing a crucial role in fostering competitiveness. To ensure …