Title :
An Ontology-Based NLP Approach to Semantic Annotation of Annual Report
Author :
Wang, Baohua ; Huang, Hejiang ; Wang, Xiaolong ; Chen, Wensheng
Author_Institution :
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Shenzhen, China
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.
Keywords :
information retrieval; natural language processing; ontologies (artificial intelligence); open systems; Chinese securities companies; domestic investor; enhanced information retrieval; foreign investors; interoperability; natural language approach; ontology-based NLP approach; semantic annotation; tagged PDF format; Computational intelligence; Computer science; Computer security; Educational institutions; Information resources; Information retrieval; Information security; Mathematics; Ontologies; XML; Annual Report; NLP; Tagged PDF documents; ontology; semantic annotation;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.269
