The improvement of question process method in Q&A system

Abstract

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