Data schema of the scientific paper management model. 

Data schema of the scientific paper management model. 

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In recent years, with the rapid growth of science and innovation, plenty of constantly-updated scientific achievements containing innovative knowledge can be acquired and used to solve problems. However, most undergraduate students and non-researchers cannot use them efficiently. In traditional teacher-centric education, education for sustainabilit...

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... graphs can be regarded as having two parts: one is the data schema at the bottom, also called the concept level; and the other is the data level. Data schema should be designed by experts, and the data schema in this work is shown in Figure 2. In this paper, these kinds of entities, concepts, and their property relations were defined to describe scientific resources and form a knowledge graph. The entity class in this work represented objects that are important in scientific resources, such as papers, researchers, journals, and organizations, and were linked together through their properties. The concept class referred to the abstract concept. In this work, they were always the domain terminologies extracted from scientific papers, and concepts were also linked with properties. At the data level of the knowledge graph, every class in the concept level holds a variety of instances, which is the specific entity or concept of the class. Every instance holds properties defined in a corresponding class and their own values for these properties. There were two types of properties in this work: the data property links the instance to a string or number value, and the object property, such as "written_by," links the instance to another instance. In this way, the knowledge graph could be regarded as a knowledge network composed of triples of entity(concept)-property-entity(concept). "Paper," "Researcher", and their instances were selected as an example in Figure 3. "Paper" and "Researcher" are two classes, while a specific paper or an author is the instance of a corresponding class. "Is_a" represents an inheritance relationship; for example, "Researcher" is a "Person." In an inheritance relationship, a subclass holds all properties of the superclass and adds their own properties. For example, "Researcher" holds properties of "Person" such as "name" and has its own properties, such as work in some research institutions, and so on. An inheritance relationship gives a hierarchical structure to the data schema. ...

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... The evaluation system of innovation and entrepreneurship education in the new era should pay special attention to the following points: the evaluation mechanism should be set up in line, and scientific evaluation indexes and a perfect teaching evaluation feedback mechanism should be established so that the final teaching effect and teaching reputation of the school can be effectively improved [11][12][13]. Focusing on the participation of teachers in this education to develop appropriate incentives based on their performance, the enthusiasm of teachers is greatly mobilized, and colleges and universities should also play a leading role in their own, the results of the assessment in a timely manner for teachers and students to understand [14][15]. The cultivation of college students' dualcreation education is a continuous work, constantly optimizing the education evaluation system to ensure the smooth development of dual-creation education; colleges and universities should keep abreast of the times, adjust the evaluation system in time with the changes in the social employment situation and ensure its feasibility and objectivity so that innovation and entrepreneurship education can play a positive role [16][17]. ...
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