Intelligent Support of Decision Making in Human Resource Management Using Case-Based Reasoning and Ontology

Zhukova, Irina; Kultsova, Marina; Navrotsky, Mikhail; Dvoryankin, Alexander

doi:10.1007/978-3-319-11854-3_16

Cited by 12 publications

(3 citation statements)

References 2 publications

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“…This stage has been highlighted in most research related to ontology construction. 19,21,37 In the second stage, a comprehensive list of concepts, terms, and their relationships was prepared. This can be done by using brainstorming and examining textbooks, research articles, medical databases, existing ontologies, and medical guidelines.…”

Section: Discussionmentioning

confidence: 99%

Ontology Engineering for Gastric Dystemperament in Persian Medicine

2021

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Objective Developing an ontology can help collecting and sharing information in traditional medicine including Persian medicine in a well-defined format. The present study aimed to develop an ontology for gastric dystemperament in the Persian medicine. Methods This was a mixed-methods study conducted in 2019. The first stage was related to providing an ontology requirements specification document. In the second stage, important terms, concepts, and their relationships were identified via literature review and expert panels. Then, the results derived from the second stage were refined and validated using the Delphi method in three rounds. Finally, in the fourth stage, the ontology was evaluated in terms of consistency and coherence. Results In this study, 241 concepts related to different types of gastric dystemperament, diagnostic criteria, and treatments in the Persian medicine were identified through literature review and expert panels, and 12 new concepts were suggested during the Delphi study. In total, after performing three rounds of the Delphi study, 233 concepts were identified. Finally, an ontology was developed with 71 classes, and the results of the evaluation study revealed that the ontology was consistent and coherent. Conclusion In this study, an ontology was created for gastric dystemperament in the Persian medicine. This ontology can be used for designing future systems, such as case-based reasoning and expert systems. Moreover, the use of other evaluation methods is suggested to construct a more complete and precise ontology.

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Section: Discussionmentioning

confidence: 99%

Ontology Engineering for Gastric Dystemperament in Persian Medicine

2021

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“…Alexopoulos et al [21] have proposed a fuzzy casebase ontology for electricity market CBR system. On the other hand, there are some crisp case-base ontologies such as ArgCBROnto [81] for argumentation, [82] for mould design, and [83] for resource management. There are many proposed criteria to quantify the quality of ontologies [84].…”

Section: Evaluation Of the Proposed Cbr Systemmentioning

confidence: 99%

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis

El–Sappagh

Elmogy

Riad

2015

Artificial Intelligence in Medicine

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“…A knowledge-based approach to support decision making in human resource management is proposed in [18]. The appropriate support of decision making is implemented using case-based reasoning and ontology.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Ontology CBR System for Fault Diagnosis and Repair

Nachet¹,

Adla²

2018

IJCDS

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Previous research in decision making has proposed the use of a case based reasoning approach to accumulate, organize, preserve, link and share diverse knowledge coming from past experiences. However, existing CBR systems lack semantic understanding, which is important for intelligent knowledge retrieval in decision support system. To develop an intelligent CBR system which can not only carry out data matching retrieval, but also perform semantic associated data access, and improve the traditional keyword-based search. .An effective case representation method as well as an appropriate case retrieval approach must be found. Ontology technology is an ideal selection for realizing our system because owing to the good semantic understanding offered by ontology. Thus, we adopt ontology approach as a means to acquire domain knowledge and construct a case-base and use ontological semantic retrieval as the case retrieval method. The resulting ontology based CBR tool is experimented in fault diagnosis and repairing domain, a semi-structured decision-making environment involving multiple attributes. The results showed the feasibility and the applicability of our approach, and the benefit of the ontology support.

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Intelligent Support of Decision Making in Human Resource Management Using Case-Based Reasoning and Ontology

Cited by 12 publications

References 2 publications

Ontology Engineering for Gastric Dystemperament in Persian Medicine

Ontology Engineering for Gastric Dystemperament in Persian Medicine

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis

Intelligent Ontology CBR System for Fault Diagnosis and Repair

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