An Ontology-Based NLP Approach to Semantic Annotation of Annual Report

Baohua Wang, Hejiang Huang, Xiaolong Wang, Wensheng Chen

Abstract: Annual reports of Chinese securities companies have become the most significant and reliable source of information for domestic and foreign investors. Semantic annotation of them enhanced information retrieval and improved interoperability. In this paper we first review the major features of annual reports which are tagged PDF format, then propose a novel ontology-based NLP approach to semantic annotate them. The experimental results show in the paper state a good accuracy of our approach.