Nowadays, automatic scoring is an important way of teaching and examinations. However, there is no existing research on automatic scoring for subjective item of database domain both at home and abroad. According to the characteristics of database domain, we construct database domain synonyms ontology and proposed a text similarity calculation algorithm based on Hamming distance. Then we implement the automatic scoring for subjective item of database domain on the basis of ontology. In addition, in order to verify the accuracy and rationality of the algorithm, we take a specific subject as an example. The experiment results further illustrate the accuracy and efficiency of the proposed automatic scoring algorithm.
Contingency plans is growing in quantity and gains higher quality in recent years. Contingency plan management has become a public service and affects our society. In this paper, we proposed a formal model of contingency plans and designed the three-layer architecture of the contingency plan management system. First, we give the formal representation of basic attributes, contents and the task model respectively. We have three layer in proposed contingency plan management system. The storage layer is designed to adapt to various types of data, such as XML and relational. The formal-model layer provides interfaces for accessing contingency plans based on formal representation. The application layer use the interfaces for different applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.