Towards A Comprehensive Semantic Annotation Methodfor Knowledge Acquisition from Classical Chinese Poetry

Abstract

In this paper, we propose a comprehensive semantic annotation method supported by a user-oriented markup language named Olan to facilitate semantic annotation for the purpose of acquisition of knowledge from classical Chinese poetry so as to build a high quality knowledge base. Olan is a language readable and operable by human annotators and transformable to formal knowledge representation languages such as OWL (Web Ontology Language) for knowledge reasoning. To ensure the effectiveness of the method, we develop a multi-language semantic annotation tool. With the features of online and offline searching, ontology visualizing, knowledge transforming and reasoning, the method is applicable of knowledge acquisition for semantic annotation of classical Chinese poetry.