| Basic education requires a lot of information education resources, more and more institutions join to build teaching resource. In the process of resource development, because countries have no mandatory requirement for using a unified resources construction standard and different organizations have different demands, both led to the semantic heterogeneity between resources. It is hard to interoperate and share with each otherfor heterogeneous resources. So it is an important research task and practice task to identify semantic relations and achieve the integration and sharing of heterogeneous resources.To solve this problem, we propose to build micro-ontology as the semantic knowledge basis of heterogeneous resources, and it can realize the integration and sharing of heterogeneous resources by a series of technical means. The paper presents a resource sharing model based on ontology. In the model, we build a micro-ontology knowledge base for specific problems. It can get semantic relationships between heterogeneous resources based on the micro-ontology. According to different semantic relationships between resources, we can achieve different types of heterogeneous integration of resources.First, after the analysis of heterogeneous teaching resources issues, thepaperproposes to build micro-ontology facing specific resources sharing. Micro-ontology can be used as a shared vocabulary for specific knowledge sharing and it is feasible. After analyze teaching resource site and the characteristics of teaching resources, we proposed to use of knowledge points class to represent the concept of teaching resources. Learn traditional domain ontology construction method to build micro-ontology for teaching resources domain.On this basis, we further design resource sharing model based on ontology. The model can achieve two functions:semantic recognition of heterogeneous resources and semantic annotation of heterogeneous resources. We can recognize semantic relationships between heterogeneous resources by parsing the micro-ontology knowledge base.During reasoning, according to the specific characteristics of teaching resources to develop custom rules to get the implied link between resources. According to the resource level of knowledge of specific problem areas is not deep features, the paper improved conceptual similarity algorithm based on ontology. When micro-ontology cannot acquire semantic relations directly, we can obtain the semantic collections, and then to choose the most similar one to replace the resource based on improved calculation method based on ontology. Based on micro-ontology knowledge base, it can achieve resource sharing and integration in shallow sense according to the semantic relationship of heterogeneous resources.Finally, the paper verified the resource sharing model using multiple instances, the experimental results show that the method can accurately identify the semantic heterogeneousresources. Annotation heterogeneous resources based on micro-ontology can make a strong foundation for other resources sharing researchers and will help people find the correct information. |
