Semantic Word Rank Algorithm Based on the Relation Degree of the Words

With the continuous development of the Internet, the volume of data is soaring sharply, the question answering system plays an increasingly important role in our lives. The current question answering system knowledge base is mainly constructed manually, costing a lot of manpower and material resources, hindering the expansion of application of question answering system from a single field to the whole field. Therefore, based on previous research results, this paper focused on the construction of domain lexicon and knowledge base, proposed semantic word rank (SWR) algorithm based on the relation degree of the words. By extracting the subject words and characteristic words of the paragraph, a knowledge base which is marked by the subject words and characteristic words is constructed automatically. The experimental results show that the SWR algorithm can effectively improve the accuracy of the extraction of subject words and characteristic words, the construction of knowledge base is more scientific and reasonable.