This paper firstly utilizes the ontology such as WordNet to build the semantic structures of text documents, and then enhance the semantic similarity among them. Because the correlations between documents make them lie on or close to a smooth low-dimensional manifold so that documents can be well characterized by a manifold within the space of documents, we calculate the similarity between any two semantically structured documents with respect to the intrinsic global manifold structure. This idea has been validated in the conducted text categorization experiments on patent documents. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Wen, G., Jiang, L., & Shadbolt, N. R. (2006). Ontology-based similarity between text documents on manifold. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4185 LNCS, pp. 113–125). Springer Verlag. https://doi.org/10.1007/11836025_12
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