scholarly journals Knowledge Management and Semantic Technology in the Health Care Revolution: Health 3.0 Model

2013 ◽  
Vol 680 ◽  
pp. 633-638 ◽  
Author(s):  
Te Fu Chen ◽  
Chieh Heng Ko ◽  
Fei Chun Cheng
Keyword(s):  
Health Care ◽  
Knowledge Management ◽  
Semantic Web ◽  
Linked Data ◽  
Insurance Companies ◽  
Semantic Technologies ◽  
Key Factors ◽  
Health 2.0 ◽  
Academic Researchers ◽  
Definition Of

Currently, the exploration, improvement, and application of knowledge management and semantic technologies to health care are in a revolution from Health 2.0 to Health 3.0. However, what accurately are knowledge management and semantic technologies and how can they improve a healthcare system? The study aims to review what constitute a Health 3.0 system, and identify key factors in the health care system. First, the study analyzes semantic web, definition of Health 2.0 and Health 3.0, new models for linked data: (1) semantic web and linked data graphs (2) semantic web and healthcare information challenges, OWL and linked knowledge, from linked data to linked knowledge, consistent knowledge representation, and Health 3.0 system. Secondly, the research analyzes two case studies of Health 3.0, and summarizes six key factors that constitute a Health 3.0 system. Finally, the study recommends the application of knowledge management and semantic technologies to Health 3.0 health care model requires the cooperation among emergency care, insurance companies, hospitals, pharmacies, government, specialists, academic researchers, and customer (patients).

scholarly journals Linked Data Tools

2021 ◽  
Author(s):  
Gillian Byrne ◽  
Lisa Goddard
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
The State ◽  
The Internet ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Distributed Reasoning ◽  
New Knowledge ◽  
Immense Potential

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure to determine whether semantic technologies are sufficiently mature for non–expert use, and to identify some of the obstacles to global Linked Data implementation.

scholarly journals Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge

2017 ◽  
Vol 3 ◽  
pp. e105 ◽  
Author(s):  
Anastasia Dimou ◽  
Sahar Vahdati ◽  
Angelo Di Iorio ◽  
Christoph Lange ◽  
Ruben Verborgh ◽  
...  
Keyword(s):  
Best Practices ◽  
Semantic Web ◽  
Linked Data ◽  
Lessons Learned ◽  
Data Publishing ◽  
High Quality ◽  
Scholarly Publications ◽  
Input Dataset ◽  
Definition Of ◽  
Semantic Publishing

While most challenges organized so far in the Semantic Web domain are focused on comparing tools with respect to different criteria such as their features and competencies, or exploiting semantically enriched data, the Semantic Web Evaluation Challenges series, co-located with the ESWC Semantic Web Conference, aims to compare them based on their output, namely the produced dataset. The Semantic Publishing Challenge is one of these challenges. Its goal is to involve participants in extracting data from heterogeneous sources on scholarly publications, and producing Linked Data that can be exploited by the community itself. This paper reviews lessons learned from both (i) the overall organization of the Semantic Publishing Challenge, regarding the definition of the tasks, building the input dataset and forming the evaluation, and (ii) the results produced by the participants, regarding the proposed approaches, the used tools, the preferred vocabularies and the results produced in the three editions of 2014, 2015 and 2016. We compared these lessons to other Semantic Web Evaluation Challenges. In this paper, we (i) distill best practices for organizing such challenges that could be applied to similar events, and (ii) report observations on Linked Data publishing derived from the submitted solutions. We conclude that higher quality may be achieved when Linked Data is produced as a result of a challenge, because the competition becomes an incentive, while solutions become better with respect to Linked Data publishing best practices when they are evaluated against the rules of the  challenge.

scholarly journals Challenges as enablers for high quality linked data: Insights from the semantic publishing challenge

2016 ◽  
Author(s):  
Anastasia Dimou ◽  
Sahar Vahdati ◽  
Angelo Di Iorio ◽  
Christoph Lange ◽  
Ruben Verborgh ◽  
...  
Keyword(s):  
Best Practices ◽  
Semantic Web ◽  
Linked Data ◽  
Lessons Learned ◽  
Data Publishing ◽  
High Quality ◽  
Scholarly Publications ◽  
Input Dataset ◽  
Definition Of ◽  
Semantic Publishing

While most challenges organized so far in the Semantic Web domain are focused on comparing tools with respect to different criteria such as their features and competencies, or exploiting semantically enriched data, the Semantic Web Evaluation Challenges series, co-located with the ESWC Semantic Web Conference, aims to compare them based on their output, namely the produced dataset. The Semantic Publishing Challenge is one of these challenges. Its goal is to involve participants in extracting data from heterogeneous sources on scholarly publications, and producing Linked Data that can be exploited by the community itself. This paper reviews lessons learned from both (i) the overall organization of the Semantic Publishing Challenge, regarding the definition of the tasks, building the input dataset and forming the evaluation, and (ii) the results produced by the participants, regarding the proposed approaches, the used tools, the preferred vocabularies and the results produced in the three editions of 2014, 2015 and 2016. We compared these lessons to other Semantic Web Evaluation challenges. In this paper, we (i) distill best practices for organizing such challenges that could be applied to similar events, and (ii) report observations on Linked Data publishing derived from the submitted solutions. We conclude that higher quality may be achieved when Linked Data is produced as a result of a challenge, because the competition becomes an incentive, while solutions become better with respect to Linked Data publishing best practices when they are evaluated against the rules of the challenge.

scholarly journals Challenges as enablers for high quality linked data: Insights from the semantic publishing challenge

2016 ◽  
Author(s):  
Anastasia Dimou ◽  
Sahar Vahdati ◽  
Angelo Di Iorio ◽  
Christoph Lange ◽  
Ruben Verborgh ◽  
...  
Keyword(s):  
Best Practices ◽  
Semantic Web ◽  
Linked Data ◽  
Lessons Learned ◽  
Data Publishing ◽  
High Quality ◽  
Scholarly Publications ◽  
Input Dataset ◽  
Definition Of ◽  
Semantic Publishing

While most challenges organized so far in the Semantic Web domain are focused on comparing tools with respect to different criteria such as their features and competencies, or exploiting semantically enriched data, the Semantic Web Evaluation Challenges series, co-located with the ESWC Semantic Web Conference, aims to compare them based on their output, namely the produced dataset. The Semantic Publishing Challenge is one of these challenges. Its goal is to involve participants in extracting data from heterogeneous sources on scholarly publications, and producing Linked Data that can be exploited by the community itself. This paper reviews lessons learned from both (i) the overall organization of the Semantic Publishing Challenge, regarding the definition of the tasks, building the input dataset and forming the evaluation, and (ii) the results produced by the participants, regarding the proposed approaches, the used tools, the preferred vocabularies and the results produced in the three editions of 2014, 2015 and 2016. We compared these lessons to other Semantic Web Evaluation challenges. In this paper, we (i) distill best practices for organizing such challenges that could be applied to similar events, and (ii) report observations on Linked Data publishing derived from the submitted solutions. We conclude that higher quality may be achieved when Linked Data is produced as a result of a challenge, because the competition becomes an incentive, while solutions become better with respect to Linked Data publishing best practices when they are evaluated against the rules of the challenge.

scholarly journals Linked Data Tools

2021 ◽  
Author(s):  
Gillian Byrne ◽  
Lisa Goddard
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
The State ◽  
The Internet ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Distributed Reasoning ◽  
New Knowledge ◽  
Immense Potential

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure to determine whether semantic technologies are sufficiently mature for non–expert use, and to identify some of the obstacles to global Linked Data implementation.

scholarly journals Linked Data tools: Semantic Web for the masses

First Monday ◽  
2010 ◽  
Author(s):  
Lisa Goddard ◽  
Gillian Byrne
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
The Internet ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Distributed Reasoning ◽  
New Knowledge ◽  
The Masses ◽  
Immense Potential

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure, to determine whether semantic technologies are sufficiently mature for non-expert use, and to identify some of the obstacles to global Linked Data implementation.

E-health developments in the system of health services in Hungary and the European Union

2014 ◽  
Vol 155 (21) ◽  
pp. 822-827
Author(s):  
Ágnes Váradi
Keyword(s):  
Health Care ◽  
European Union ◽  
Public Discourse ◽  
Action Plan ◽  
Fundamental Rights ◽  
Public Health Care ◽  
The European Union ◽  
Contemporary Issue ◽  
Definition Of ◽  
Basic Features

The question of electronic solutions in public health care has become a contemporary issue at the European Union level since the action plan of the Commission on the e-health developments of the period between 2012 and 2020 has been published. In Hungary this issue has been placed into the centre of attention after a draft on modifications of regulations in health-care has been released for public discourse, which – if accepted – would lay down the basics of an electronic heath-service system. The aim of this paper is to review the basic features of e-health solutions in Hungary and the European Union with the help of the most important pieces of legislation, documents of the European Union institutions and sources from secondary literature. When examining the definition of the basic goals and instruments of the development, differences between the European Union and national approaches can be detected. Examination of recent developmental programs and existing models seem to reveal difficulties in creating interoperability and financing such projects. Finally, the review is completed by the aspects of jurisdiction and fundamental rights. It is concluded that these issues are mandatory to delineate the legislative, economic and technological framework for the development of the e-health systems. Orv. Hetil., 2014, 155(21), 822–827.

Reason Analysis of Runway Incursions Based on Grey Theory

2011 ◽  
Vol 328-330 ◽  
pp. 2400-2404
Author(s):  
Zi Qi Ju
Keyword(s):  
Gray Relational Analysis ◽  
Grey Theory ◽  
Prevention Measures ◽  
Key Factors ◽  
Class Ab ◽  
Relational Analysis ◽  
Definition Of ◽  
Grey Relational ◽  
Runway Incursions ◽  
Runway Incursion

To prevent runway incursions, we should have the corresponding systematic prevent ideas. Based on the definition of runway incursions and classification of relevant criteria, it analyzed the runway incursion system, put forward the closed-loop management ideas to prevent runway incursions, and found the main contradictions of preventing runway incursions using the gray relational analysis. With the example of runway incursion dates of U.S.A, by means of Grey Relational Analysis of different severities and different factors for runway incursions, it have shown that the key factors leading to the class AB and class CD runway incursions are Vehicle/Pedestrian Deviations and Pilot Deviations respectively. Meanwhile, it proposed integrated prevention measures of runway incursions.

scholarly journals Knowledge Management in Entrepreneurship Education as the Basis for Creative Business Development

2021 ◽  
Vol 13 (3) ◽  
pp. 1167
Author(s):  
Yuliya Frolova ◽  
Suad A. Alwaely ◽  
Olga Nikishina
Keyword(s):  
Knowledge Management ◽  
International Student ◽  
Student Assessment ◽  
Entrepreneurship Education ◽  
Key Factors ◽  
Management Tools ◽  
International Student Assessment ◽  
Al Ain ◽  
Management Concept ◽  
Motivation Model

Despite numerous studies dedicated to business and entrepreneurship education, there is a lack of research dedicated to students studying creativity in entrepreneurial and business-related disciplines through knowledge management tools and practices. The objectives of the study were to determine the key factors of creative motivation for entrepreneurship among students, to build an appropriate universal practical model of learner creativeness motivation, and to create a knowledge management concept based on this model. By way of comparative, descriptive, qualitative, and quantitative analysis methods, we investigated previous research in the field of motivation, educational approaches, and methodologies, together with the data of the Program for International Student Assessment of the Organization for Economic Co-operation and Development. In order to compare international experience of knowledge management in modern approaches to education, we analyzed the curricular of business and entrepreneurship programs in three higher education entities from different countries: the Russian Presidential Academy of National Economy and Public Administration, KIMEP University, and Al Ain University. As a result of the research, we developed knowledge management that can be used for the learner creativity and motivation model. Recommendations developed in the course of the study would allow for the ability to make business and entrepreneurship education more sustainable.

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