Extracting semantic information from chinese language patent claims

Abstract

A big challenge for automatically analyzing patent claims written in Chinese language is how to obtain semantically information from claims which are usually a non-structured, but free text. In this paper, a set of techniques is been provided to extract some valuable semantically information from claims in Chinese language. The method could automatically discovery some usable semantically information from the patent claim texts by means of regular expression pattern and predefined ontology model. It can extract not only surface semantic information but also deeper semantic information. Furthermore, the extracted semantically information is automatically translated into web ontology language (OWL), a machine readable semantic structure specification. The work proposes a potential semantic solution in Chinese language patent analyzing based on patent claims, such as semantic searching, legal status and invalidation checking, and discovering new technique trends. A case study on electronic engineering domain patent claims is also provided. © 2013 Springer-Verlag.