The use of Semantic Web technologies for decision support–a survey

E Blomqvist - Semantic Web, 2014 - content.iospress.com
Abstract The Semantic Web shares many goals with Decision Support Systems (DSS), eg,
being able to precisely interpret information, in order to deliver relevant, reliable and …

SEDIT: semantic digital twin based on industrial IoT data management and knowledge graphs

JM Gómez-Berbís, A de Amescua-Seco - Technologies and Innovation …, 2019 - Springer
A Digital Twin is a dynamic digital representation of a device, consumer or process and
indicates an accurate current and predicted future status and components. Digital Twins are …

[HTML][HTML] Issues associated with the use of semantic web technology in knowledge acquisition for clinical decision support systems: systematic review of the literature

S Zolhavarieh, D Parry, Q Bai - JMIR medical informatics, 2017 - medinform.jmir.org
Background: Knowledge-based clinical decision support system (KB-CDSS) can be used to
help practitioners make diagnostic decisions. KB-CDSS may use clinical knowledge …

An ontological approach for pathology assessment and diagnosis of tunnels

V Dimitrova, MO Mehmood, D Thakker… - … Applications of Artificial …, 2020 - Elsevier
Tunnel maintenance requires complex decision making, which involves pathology diagnosis
and risk assessment, to ensure full safety while optimising maintenance and repair costs. A …

Creating a semantically-enhanced cloud services environment through ontology evolution

MÁ Rodríguez-García, R Valencia-García… - Future Generation …, 2014 - Elsevier
Currently, the availability of Web resources has grown enormously to the point that whatever
a user needs at a given moment can potentially be found on the Internet. These resources …

An ontology-based decision support system for the diagnosis of plant diseases

K Lagos-Ortiz, J Medina-Moreira… - Journal of Information …, 2017 - igi-global.com
There are several cities and countries whose population depends on agriculture. Crops
demand close monitoring regarding diseases because these ones can affect significantly …

I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time

V Pandit, M Schmitt, N Cummins, B Schuller - Information Processing & …, 2020 - Elsevier
A robust value-and time-continuous emotion recognition has enormous potential benefits
within healthcare. For example, within mental health, a real-time patient monitoring system …

[HTML][HTML] Semantics-based plausible reasoning to extend the knowledge coverage of medical knowledge bases for improved clinical decision support

H Mohammadhassanzadeh, W Van Woensel, SR Abidi… - BioData mining, 2017 - Springer
Background Capturing complete medical knowledge is challenging-often due to incomplete
patient Electronic Health Records (EHR), but also because of valuable, tacit medical …

Providing knowledge recommendations: an approach for informal electronic mentoring

R Colomo-Palacios, C Casado-Lumbreras… - Interactive Learning …, 2014 - Taylor & Francis
The use of Web 2.0 technologies for knowledge management is invading the corporate
sphere. The Web 2.0 is the most adopted knowledge transfer tool within knowledge …

PsyDis: Towards a diagnosis support system for psychological disorders

C Casado-Lumbreras, A Rodríguez-González… - Expert systems with …, 2012 - Elsevier
Psychological diagnosis is not a simple task. In spite of the amount of information and
decision support systems available, mental disorders are still difficult to diagnose due to …