The improvement of question process method in Q&A system

Life service information plays an important role in people’s life, such as weather conditions, so the study of how to get life service information has important significance. This paper put forward a question processing method called “integrated semantic algorithm” in Q&A System of life service information. The new algorithm was based on the semantic web, word order similarity algorithm and the syntactic similarity algorithm. When matching the question templates, especially for some question templates which are characteristic of certain fields, the new algorithm can identify the type of questions, narrow the matching range of the question templates, and improve the matching accuracy. In the experiment, we chose “weather field” as the experimental subject. In the first experiment, we built the question syntactic templates and semantic web of weather, and collected 55 questions of weather title as test set. Then we used the word similarity algorithm, the syntactic similarity algorithm and integrated semantic similarity algorithm to match question templates with the test question set. The experimental results show that the integrated semantic algorithm is better than the other two algorithms in matching accuracy. In the second experiment, we randomly selected some questions from different fields, then we used the three similarity algorithms in the first experiment to do the field distinguishing experiment. The experiment shows that only the integrated semantic algorithm can recognize questions of different fields.