Construction method of Guangcai porcelain knowledge base based on semantic ontology

Abstract

The invention discloses a construction method of a Guangcai porcelain knowledge base based on semantic ontology, and the method comprises the steps of performing semantic analysis on Guangcai porcelain elements according to a Guangcai porcelain pattern, and constructing a modeling meta-language of a semantic ontology; obtaining explicit knowledge and implicit knowledge of the Guangcai porcelain knowledge according to a knowledge management principle; dividing libraries corresponding to the explicit knowledge and the implicit knowledge into a general knowledge ontology, a dynamic knowledge ontology and a domain knowledge ontology; fusing the general knowledge ontology, the dynamic knowledge ontology and the domain knowledge ontology into a wide-color porcelain knowledge model; and constructing a semantic retrieval model for personalized learning based on the Guangcai porcelain knowledge model. Through semantic analysis of the Guangcai porcelain elements in combination with the modelingmeta-language of the ontology, the Guangcai porcelain knowledge model and the semantic retrieval model of the multi-dimensional semantic ontology are constructed from the perspective of knowledge application, and the practicability and usability of the Guangcai porcelain knowledge base are enhanced.

Description

technical field [0001] The present application relates to the technical field of knowledge bases, in particular to a method for constructing a knowledge base of Guangcai porcelain based on semantic ontology. Background technique [0002] Semantic ontology is a formalized specification of shared conceptual models, and its goal is to transform messy information sources into orderly and easy-to-use knowledge sources. Semantic ontology is the core concept of Semantic Web, and the core of "semantic" is knowledge sharing. Ontology, as an effective form of knowledge organization, has attracted extensive attention in the field of information science. The purpose of introducing ontology into information science is to describe and organize information at the semantic and knowledge levels, and provide a semantic basis for the common understanding of knowledge by computers. Semantic ontology is an emerging research direction in academia. Using the research method of semantic ontology c...

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Problems solved by technology

[0004] At present, most of the designs of database models based on semantic ontology theory are based on how to construct database models. In the construction process, there is a lack of consideration for the further application of database models, which makes the constructed knowledge base models have application limitations.

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