2014Unpublished venueRequires access

Ontology-Based Skills Knowledge Base Construction Method and Its Application in Educational Games

Zhang Kaiqiang, Kang Li, Qing Wang, Hong Chen, Zhu Dehai, Xinrong Cheng

Open publisher page 2 citations

Abstract

Knowledge representation is a strategy which represents the human knowledge as the data structure and the system control structure that can be processed by computer. As a knowledge representation method, domain ontology can represent the specific knowledge of a specific area. In the design of skill knowledge base, it will involve a lot of corresponding events to skills, and the knowledge contained in the event is dynamic. Dynamic knowledge can't be fully expressed in a static concept, so skill knowledge base needs both static knowledge in the field of domain ontology and dynamic knowledge in the field of event ontology. So, taking building skill knowledge base for rural migrant workers as the application background, based on analyzing the ontology structure and application model, this paper proposes a construction method of skill knowledge base with the combination of domain ontology and event ontology, which realizes the ontology database storage. Experimental results show that when we apply the knowledge base to knowledge training rules and knowledge map, we can better recommend the challenge missions of application games.

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What this paper is about

Knowledge representation is a strategy which represents the human knowledge as the data structure and the system control structure that can be processed by computer. As a knowledge representation method, domain ontology can represent the specific knowledge of a specific area. In the design of skill knowledge base, it will involve a lot of corresponding events to skills, and the knowledge contained in the event is dynamic. Dynamic knowledge can't be fully expressed in a static concept, so skill knowledge base needs both static knowledge in the field of domain ontology and dynamic knowledge in the field of event ontology. So, taking building skill knowledge base for rural migrant workers as the application background, based on analyzing the ontology structure and application model, this paper proposes a construction method of skill knowledge base with the combination of domain ontology and event ontology, which realizes the ontology database storage. Experimental results show that when we apply the knowledge base to knowledge training rules and knowledge map, we can better recommend the challenge missions of application games.

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Available abstract

Knowledge representation is a strategy which represents the human knowledge as the data structure and the system control structure that can be processed by computer. As a knowledge representation method, domain ontology can represent the specific knowledge of a specific area. In the design of skill knowledge base, it will involve a lot of corresponding events to skills, and the knowledge contained in the event is dynamic. Dynamic knowledge can't be fully expressed in a static concept, so skill knowledge base needs both static knowledge in the field of domain ontology and dynamic knowledge in the field of event ontology. So, taking building skill knowledge base for rural migrant workers as the application background, based on analyzing the ontology structure and application model, this paper proposes a construction method of skill knowledge base with the combination of domain ontology and event ontology, which realizes the ontology database storage. Experimental results show that when we apply the knowledge base to knowledge training rules and knowledge map, we can better recommend the challenge missions of application games.

Key concepts: Ontology, Open Knowledge Base Connectivity, Knowledge base, Computer science, Domain knowledge, Knowledge-based systems, Knowledge representation and reasoning, Suggested Upper Merged Ontology

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