A patent document retrieval system addressing both semantic and syntactic properties

Abstract

Combining the principle of Differential Latent Semantic Index (DLSI) (Chen et al., 2001) and the Template Matching Technique (Tokuda and Chen, 2001), we propose a new user queries-based patent document retrieval system by NLP technology. The DLSI method first narrows down the search space of a sought-after patent document by content search and the template matching technique then pins down the documents by exploiting the words-based template matching scheme by syntactic search. Compared with the synonymous search scheme by thesaurus dictionaries, the new method results in an improved overall retrieval efficiency of patent documents.