Automatic semantic annotation based on ontology and knowledge base
基于本体知识库的自动语义标注*

In order to generate the metadata of semantic web, semantic information need be extracted. Facing the mass scale of web documents, Compared to artificial or semi-automatic semantic annotation, automatic semantic annotation is a feasible method. To recognize candidate named entities, the semantic dictionary is designed and semantic distance between entities is calculated by semantic relevance path. The most complex problem in semantic annotation is semantic disambiguation. A semantic disambiguation method based on the shortest path and n-gram is proposed. After semantic annotation using this method, the results need to be converted to semantic indexes for semantic information retrieval. Experiments have been made on a news corpus. The result shows that the method is effective for the task of automatic semantic annotation.