Constructing the Semantic Information Model using A Collective Intelligence Approach

Author(s):  
Kigon Lyu
2021 ◽  
Author(s):  
Lizong Deng ◽  
Luming Chen ◽  
Tao Yang ◽  
Mi Liu ◽  
Shicheng Li ◽  
...  

UNSTRUCTURED In “Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study” (J Med Internet Res 2021;23(6):e26892) the authors noted one error. The institution name of affiliation “Suzhou Institute of Systems Medicine” was not correct. It should be corrected from “Suzhou Institute of Systems Medicine” to “Center of Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College; Suzhou Institute of Systems Medicine”


2012 ◽  
Vol 198-199 ◽  
pp. 786-789
Author(s):  
Tie Feng Zhang ◽  
Shu Juan Han ◽  
Jian Wei Gu

Based on the basic knowledge of ontology and protégé, and the deficiency of semantic expression in the IEC61850 and IEC61970 Standard, this paper puts forward a mapping method from SCL to CIM, adopting Web Ontology Language OWL to build the semantic information model of SCL and CIM of substation knowledge ontology. In substation model, this mapping method could solve the problem of information sharing and interoperation between digitized substation and dispatch master station, and lay a foundation for further research on fusion of the two standards.


Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1435
Author(s):  
Hyun Joong Kim ◽  
Chang Min Jeong ◽  
Jin-Man Sohn ◽  
Jhi-Young Joo ◽  
Vaibhav Donde ◽  
...  

Smart grids with interoperability improve grid reliability by collecting system information and transferring it to an energy management system and associated applications through a seamless end-to-end connection. To achieve interoperability, it is required to exchange the semantic information within the different domains. The international electrotechnical commission has established the Common Information Model (CIM) tool, which is a standard application programming interface for the exchange of semantic information in power systems. CIM provides a robust framework for accurate data sharing, merging, and transformation into reusable information. However, as CIM provides a basic framework for information exchange, various practical issues arise in establishing an energy management system capable of exchanging information using CIM. This paper aims to offer a comprehensive understanding by summarizing and categorizing the research on the practical use of CIM for interoperability in smart grids. Many papers are analyzed and the issues are classified into CIM extension, harmonization, and validation to address the issues that arise when establishing an integrated information exchange system.


Procedia CIRP ◽  
2020 ◽  
Vol 90 ◽  
pp. 594-599
Author(s):  
Mickaël Bettinelli ◽  
Michel Occello ◽  
Damien Genthial ◽  
Daniel Brissaud

2020 ◽  
Vol 141 ◽  
pp. 104231 ◽  
Author(s):  
Eiichiro Uchino ◽  
Kanata Suzuki ◽  
Noriaki Sato ◽  
Ryosuke Kojima ◽  
Yoshinori Tamada ◽  
...  

2018 ◽  
Vol 19 (1) ◽  
pp. 157-177 ◽  
Author(s):  
Giustina Secundo ◽  
Maurizio Massaro ◽  
John Dumay ◽  
Carlo Bagnoli

Purpose The purpose of this paper is to present a case study of a university that uses a collective intelligence approach for managing its intellectual capital (IC). Specifically, the authors investigate how one of Europe’s oldest business schools, Ca’ Foscari University of Venice (Italy), manages IC through stakeholder engagement to achieve academia’s third mission so contributing to social and economic development. Design/methodology/approach Data are collected through semi-structured interviews and Ca’ Foscari University’s strategic plan. Secundo et al.’s (2016) collective intelligence framework is used to analyse the data. Alvesson and Deetz’s (2000, pp. 19-20) critical management tasks – insight, critique and transformative redefinition – are adopted to frame and discuss the results. Findings On the assumption that a university is a collective intelligence system, the findings demonstrate that IC management needs to change to incorporate an ecosystem perspective, reflecting the fourth stage of IC research. The IC management at the university incorporates its core goal (what), the collective involvement of internal and external stakeholders to achieve the goal (who), the motivations behind the achievement of the goal (why) and, finally, the processes activated inside the university (how) and indicators to assess value creation. Research limitations/implications A new perspective for managing IC in universities that adopts a collective intelligence approach is further developed. Contributions to the fourth stage of IC research – IC in an ecosystem – are highlighted that expand the concept of IC value creation beyond universities into wider society. Practical implications Two key consequences of this case study are that more stakeholders have become involved in IC management and that IC management requires critical rethinking, given the universities’ evolving role. Originality/value This paper brings together issues that are usually dealt with in separate domains of the literature: IC management and collective intelligence in the university setting.


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