A Semantic Web Framework to Support Knowledge Management in Chronic Disease Healthcare

2009 ◽  
pp. 164-170 ◽  
Author(s):  
Marut Buranarach ◽  
Thepchai Supnithi ◽  
Noppadol Chalortham ◽  
Vasuthep Khunthong ◽  
Patcharee Varasai ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Chronic Disease ◽  
Semantic Web ◽  
Web Framework

Secure knowledge management and the semantic web

2005 ◽  
Vol 48 (12) ◽  
pp. 48-54 ◽  
Author(s):  
JinKyu Lee ◽  
Shambhu J. Upadhyaya ◽  
H. Raghav Rao ◽  
Raj Sharman
Keyword(s):  
Knowledge Management ◽  
Semantic Web

scholarly journals A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health

2021 ◽  
Vol 5 (4) ◽  
pp. 57
Author(s):  
Yusuf Sermet ◽  
Ibrahim Demir
Keyword(s):  
Public Health ◽  
Semantic Web ◽  
Information Needs ◽  
Heuristic Algorithms ◽  
Accurate Information ◽  
Domain Experts ◽  
Web Technologies ◽  
Public Health Departments ◽  
Web Framework ◽  
Control And Prevention

The COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with different backgrounds and technological resources. However, several challenges and obstacles hold back the wide adoption of virtual assistants by public health departments and organizations. This paper presents the Instant Expert, an open-source semantic web framework to build and integrate voice-enabled smart assistants (i.e., chatbots) for any web platform regardless of the underlying domain and technology. The component allows non-technical domain experts to effortlessly incorporate an operational assistant with voice recognition capability into their websites. Instant Expert is capable of automatically parsing, processing, and modeling Frequently Asked Questions pages as an information resource as well as communicating with an external knowledge engine for ontology-powered inference and dynamic data use. The presented framework uses advanced web technologies to ensure reusability and reliability, and an inference engine for natural-language understanding powered by deep learning and heuristic algorithms. A use case for creating an informatory assistant for COVID-19 based on the Centers for Disease Control and Prevention (CDC) data is presented to demonstrate the framework’s usage and benefits.

scholarly journals Domain Ontology, an Instrument of Semantic Web Knowledge Management in e-Learning

2012 ◽  
Vol 5 (4) ◽  
Author(s):  
Anatoly Jasonovich Gladun ◽  
Julia Vitalijevna Rogushina ◽  
Jeanne Schreurs
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
Domain Ontology ◽  
E Learning ◽  
Web Knowledge

Social Semantic Web Framework for Industrial Synergies Initiation

2018 ◽  
Vol 23 (3) ◽  
pp. 726-738 ◽  
Author(s):  
Mohamed Raouf Ghali ◽  
Jean‐Marc Frayret
Keyword(s):  
Semantic Web ◽  
Web Framework ◽  
Social Semantic Web

Semantic Web Services-Based Knowledge Management Framework

2016 ◽  
pp. 429-438
Author(s):  
Vili Podgorelec ◽  
Boštjan Grašič
Keyword(s):  
Knowledge Management ◽  
Web Services ◽  
Semantic Web ◽  
Business Processes ◽  
Service Oriented Architecture ◽  
Semantic Web Services ◽  
Semantic Web Technologies ◽  
Management Framework ◽  
Knowledge Based ◽  
Service Oriented

In this chapter, a Semantic Web services-based knowledge management framework that enables holistic knowledge management in organizations is presented. As the economy is becoming one single global marketplace, where the best offer wins, organizations have to search for competitive advantage within themselves. With the growing awareness that key potentials of an organization lie within its people and their knowledge, efficient knowledge management is becoming one of key focuses in organizational activities. The proposed knowledge management framework is based on Semantic Web technologies and service-oriented architecture, supporting the operational business processes as well as knowledge-based management of services in service-oriented architecture.

The Medical Semantic Web

2014 ◽  
pp. 19-29
Author(s):  
Mohammad Ali H. Eljinini
Keyword(s):  
Chronic Disease ◽  
Semantic Web ◽  
Information Extraction ◽  
Knowledge Acquisition ◽  
Chronic Diseases ◽  
Precise Information ◽  
Continuous Work ◽  
Types Of Information ◽  
The Right

In this paper, the need for the right information for patients with chronic diseases is elaborated, followed by some scenarios of how the semantic web can be utilised to retrieve useful and precise information by stakeholders. In previous work, the author has demonstrated the automation of knowledge acquisition from the current web is becoming an important step towards this goal. The aim was twofold; first to learn what types of information exist in chronic disease-related websites, and secondly how to extract and structure such information into machine understandable form. It has been shown that these websites exhibit many common concepts which resulted in the construction of the ontology to guide in extracting information for new unseen websites. Also, the study has resulted in the development of a platform for information extraction that utilises the ontology. Continuous work has opened many issues which are disussed in this paper. While further work is still needed, the experiments to date have shown encouraging results.

scholarly journals A Mixed Initiative Semantic Web Framework for Process Composition

2006 ◽  
pp. 873-886 ◽  
Author(s):  
Jinghai Rao ◽  
Dimitar Dimitrov ◽  
Paul Hofmann ◽  
Norman Sadeh
Keyword(s):  
Semantic Web ◽  
Web Framework ◽  
Mixed Initiative ◽  
Process Composition
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