Multi-segment learning resource labeling method for distributed learning environment

Abstract

The invention relates to a multi-piecemeal learning resource labeling method for a distributed learning environment. The method mainly solves the problem that due to the fact that the piecemeal of electronic learning resources cannot be labeled in an existing learning resource labeling technology, a learner cannot accurately find or locate the needed learning resources. The method comprises the steps that (1) a resource piecemeal body is defined; (2) other bodies capable of being used for resource piecemeal labeling are determined; (3) the learning resource and the learning resource piecemeal are labeled; (4) the labeled learning resource is issued. According to the method, the learning resources of different types can be described in a medium mode, meanwhile, a body and a field body are described by combining learning content, the electronic learning resource is labeled in the expression mode and the learning content together, and the method has the advantages that the labeling result is accurate and standard, accessing is easy, and the search pertinency of the learning source can be effectively improved, and the method can be used for the field of electronic learning resource management, Web semantic retrieval and the like.

Description

technical field [0001] The invention belongs to the technical field of Web data management, and specifically relates to a distributed learning environment-oriented multi-segment learning resource tagging method based on the semantic tagging of learning resource segment ontology and realizing semantic tagging of various types of learning resources and partial segments of learning resources . Background technique [0002] The popularity of e-learning platform applications and the prosperity of social network applications have brought together more and more learning resources on the Web. These digital learning resources have different types, such as text, video, audio, and images. In order to facilitate learners to discover and use these resources, resource publishers generally add labels to learning resources. Through search services such as search engines, learning resources marked with resource tags matching query keywords can be found. Whether learners can find learning r...

AI Technical Summary

Problems solved by technology

However, the granularity of the query is also for resources identified by URI. Without URI identification of learning resource fragments, the organization of learning resources in the form of linked data cannot fully meet the needs of learners to query learning resources.

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