Collaborative Intelligent Environment Perception and Mission Control of Scientific Researchers in Semantic Knowledge Framework Based on Complex Theory

Joint Authors

Zhao, Jingfeng
Li, Yan

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-30

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Philosophy

Abstract EN

In the traditional scientific research and production activities, due to the lack of sufficient communication and communication between researchers, the phenomenon of waste of scientific research resources occurs from time to time, which hinders the efficiency of scientific research output.

Based on the design principle of the semantic knowledge framework, this paper puts forward the definition of ontology and semantic relationship of the collaborative system of scientific researchers.

In this paper, a framework of collaborative semantic knowledge among researchers is established through decentralized semantic information exchange architecture.

In this article, the simulation is verified by experiments and compared with other exchange architectures.

The results of the experiment confirmed the semantic information exchange architecture based on semantic knowledge proposed in this paper is 10.39% faster than the traditional centralized method in terms of data volume; the construction speed under the data node perspective is 12.84% higher than that of the traditional centralized construction method; the subject query speed is 36.84% higher than that of the traditional centralization method; the predicate query speed is 31.58% higher than that of the traditional centralization method.

The experimental results confirm that the semantic information exchange architecture based on the semantic knowledge framework is feasible, and it has excellent performance in terms of construction speed and query speed.

Under the background that researchers rely more and more on collaborative technology to interact with other members, this paper has a certain reference value and exploration value and proposes a new idea of group collaboration system under the framework of semantic knowledge.

American Psychological Association (APA)

Zhao, Jingfeng& Li, Yan. 2020. Collaborative Intelligent Environment Perception and Mission Control of Scientific Researchers in Semantic Knowledge Framework Based on Complex Theory. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1143095

Modern Language Association (MLA)

Zhao, Jingfeng& Li, Yan. Collaborative Intelligent Environment Perception and Mission Control of Scientific Researchers in Semantic Knowledge Framework Based on Complex Theory. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1143095

American Medical Association (AMA)

Zhao, Jingfeng& Li, Yan. Collaborative Intelligent Environment Perception and Mission Control of Scientific Researchers in Semantic Knowledge Framework Based on Complex Theory. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1143095

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1143095