Study of Text Clustering in Semantic Web

• Published in: 2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) pp. 1287 - 1293
• Main Authors: Wang, Liuyang, Yu, Yangxin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2019
• Subjects: Clustering algorithms; Clustering methods; Eigenvalues and eigenfunctions; Feature extraction; Intelligent systems; Knowledge engineering; semantic similarity; Semantic Web; Semantics; Soft sensors; Sparse matrices; spectral clustering; text clustering

Clustering is a Widely used information acquisition method. In order to solve the traditional text clustering Which is impossible to fully exploit the semantic information of text resources and the high dimensional and sparseness of similarity matrix, this paper proposes a text clustering method bas...