System and method for generating SPARQL query statements in field of medical treatment

Abstract

The invention discloses a system and method for generating SPARQL query statements in the medical field, and belongs to the field of machine translation. The system comprises a generator which takes aquery template library and a knowledge base as input and is used for extracting entities and attributes from the knowledge base and filling the entities and attributes into a Chinese question template and an SPARQL query template to generate a training set; the word segmentation module is used for carrying out word segmentation processing on the Chinese questions in the training set and forwarding a word segmentation result to the learner; performing word segmentation processing on the target Chinese question, and forwarding a word segmentation result to an interpreter; the learner is used for training the neural network model according to the Chinese training set after word segmentation to obtain a trained model; and the interpreter is used for predicting the target Chinese questions after word segmentation by using the trained neural network model to obtain predicted SPARQL query statements, so that complex statistical and manual models are not used any more, and the medical healthquery Chinese questions are directly converted into the SPARQL query statements.

Description

technical field [0001] The invention belongs to the field of deep learning and machine translation, and more specifically relates to a system and method for generating SPARQL query statements in the medical field. Background technique [0002] In the Internet world, the amount of information also increases rapidly with the iteration of technology. For ordinary users, how to accurately obtain the information they need from massive network data has become a big problem. In order to solve this problem, search engines have emerged, and search engines have now become one of the most important ways for users to obtain information from the Internet. Search engines can be summarized into two implementations: one is the traditional keyword-based matching mode, and the other can be classified as the future semantic query graph-based mode. No matter what technology is used, the purpose of a search engine is to collect and organize data on the Internet and provide users with search qu...

AI Technical Summary

Problems solved by technology

However, according to the statistics of many related domestic medical and health websites in this paper, the automatic question-and-answer service systems provided by these websites are still using systems based on traditional search engine technology. The websites index relevant webpages by extracting user keywords. This makes users still need to spend a lot of time sifting through information

For health care, a field that is closely related to people's daily life, domestic intelligent question-answering systems based on medical knowledge bases are not mature enough

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