| One of the visions of the Semantic Web is that future network information will have clear semantics,facilitating resource sharing and reuse.Currently,there are a large number of online educational information resources in the Internet,and the forms are various.It provides users with various forms and experiences of educational services.However,existing network education resources still have problems such as inconsistent resource formats,poor sharing and reuse,duplication of development,low retrieval efficiency,and difficulty in managing information resources.However,these resources are not isolated and they are related to each other.Information is also related to each other.Given that there are a large number of distributed and heterogeneous data in existing online education,resources are still scattered across various platforms,and the problem of semantic integration cannot be completely solved by the existing aggregation methods,which restricts the improvement of service levels.As the best practice under the Semantic Web environment,Linked Data provides a new method for the organization of information resources in the Semantic Web environment,and also provides a new way for information resource services.It starts from the specific context of the Semantic Web,and emphasizes that the data in the Internet is organized through the Resource Description Framework(RDF)and the Globally Unique Identifier(URI)to provide support for machine semantic recognition and understanding so that the computer can truly understand the semantics and greatly reduce The difficulty of data sharing and reuse.In the context of related data,this paper uses MOOC as the research object,first proposes a method of MOOC resource organization based on related data,establishes semantic association between MOOC resources and other related resources,and associates related online education resources in a unified format.The form of data is published on the associated dataset,so as to realize the integration and semantic interoperability between different types and formats of MOOC metadata.Secondly,a MOOC resource service model based on associated data is constructed,including a resource storage layer and a knowledge release layer.The knowledge organization layer and knowledge service layer elaborated the function of each layer,and explained that the advantage of MOOC associative data service lies in linking the resources of different knowledge units to each other,so that the MOOC resources scattered on different platforms constitute a unified organic whole.It enables MOOC resources to be accessed externally in an open form,providing services such as Web resource acquisition,semantic retrieval,and querying to provide better educational services for autonomous learners;at the end,it validates the model using the Open University of the United Kingdom as an example.The university will Online course resources are published in linked data and shaped The associated data set of the British Open University course,can provide a variety of services for the users query.The results prove that the MOOC resource organization method based on related data is an improvement to the traditional MOOC resource organization method,can deeply organize MOOC resources,improve the level of online education services,and promote the healthy and orderly development of online education. |
