According to Wenden and Rubin,language learning strategies consist of three types:learning strategies, communication strategies,and social strategies.Oxford classifies language learning strategies into direct strategi...According to Wenden and Rubin,language learning strategies consist of three types:learning strategies, communication strategies,and social strategies.Oxford classifies language learning strategies into direct strategies and indirect strategies.O'Malley & Chamot suggest learning strategies is composed of metacognitive,cognitive and affective or social strategies while Cohen believes language learning strategies can be subdivided into language learning strategies and language use strategies.展开更多
On the semantic web, data interoperability and ontology heterogeneity are becoming ever more important issues. To resolve these problems, multiple classification methods can be used to learn the matching between ontol...On the semantic web, data interoperability and ontology heterogeneity are becoming ever more important issues. To resolve these problems, multiple classification methods can be used to learn the matching between ontologies. The paper uses the general statistic classification method to discover category features in data instances and use the first-order learning algorithm FOIL to exploit the semantic relations among data instances. When using multistrategy learning approach, a central problem is the evaluation of multistrategy classifiers. The goal and the conditions of using multistrategy classifiers within ontology matching are different from the ones for general text classification. This paper describes the combination rule of multiple classifiers called the Best Outstanding Champion, which is suitable for heterogeneous ontology mapping. On the prediction results of individual methods, the method can well accumulate the correct matching of alone classifier. The experiments show that the approach achieves high accuracy on real-world domain.展开更多
文摘According to Wenden and Rubin,language learning strategies consist of three types:learning strategies, communication strategies,and social strategies.Oxford classifies language learning strategies into direct strategies and indirect strategies.O'Malley & Chamot suggest learning strategies is composed of metacognitive,cognitive and affective or social strategies while Cohen believes language learning strategies can be subdivided into language learning strategies and language use strategies.
文摘On the semantic web, data interoperability and ontology heterogeneity are becoming ever more important issues. To resolve these problems, multiple classification methods can be used to learn the matching between ontologies. The paper uses the general statistic classification method to discover category features in data instances and use the first-order learning algorithm FOIL to exploit the semantic relations among data instances. When using multistrategy learning approach, a central problem is the evaluation of multistrategy classifiers. The goal and the conditions of using multistrategy classifiers within ontology matching are different from the ones for general text classification. This paper describes the combination rule of multiple classifiers called the Best Outstanding Champion, which is suitable for heterogeneous ontology mapping. On the prediction results of individual methods, the method can well accumulate the correct matching of alone classifier. The experiments show that the approach achieves high accuracy on real-world domain.
