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Presents a Word Similarity Algorithm based on Thesaurus, Made two changes to the structure of Thesaurus to accurately reflect the semantic distance, the algorithm took into account the Thesaurus classification for different parts of speech, the Thesaurus density, the relationship between words and so on. Experiments show that this method can significantly improve the quality of similarity calculation.
It is an effective method that deletes repeat questions to provide quality of question bank. The main way is semantic similarity computing to solve repeat questions deleting but which depends on correct segmentation of text. A highly efficient and accurate method to segment words is proposed which combines word segmentation based on dictionary with reverse maximum matching and based on statistics...
The discovery of suitable Web services for a given user requirement is one of the central operations in Service-oriented Architectures. This paper proposes a mechanism to support service discovery via service clustering. Service clustering is aimed at grouping similar services according to the similarity between different services. The procedure of service clustering consists of two phases. The first...
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