Multilanguage question and answer interface fast constituting method based on domain ontology and template logics

Abstract

The invention relates to a multilanguage question and answer interface fast constituting method based on domain ontology and template logics. The method comprises the following steps of (1) multilanguage domain ontology structure building; (2) first-order template logic system building based on the domain ontology; (3) multilanguage question template structure design based on domain ontology and template logics; (4) domain-oriented question template base building; (5) user question preprocessing and question template matching; (6) user question semanteme obtaining and multilanguage intertranslation method. The multilanguage question and answer interface fast constituting method has the advantages that the question template semanteme can be more precisely expressed through the domain ontology and the template logics, the question template expression ability is improved by combining template operation characters, higher representativeness is realized, the template base scale can be reduced, in addition, a multilanguage body is similar to a multilanguage semantic dictionary, and the cross-language information inquiry can be easily realized. According to the method, various multilanguage man-machine interactive interfaces of field-oriented intelligent information retrieval and automatic question and answer systems can be fast constituted.

Description

technical field [0001] The invention belongs to the field of artificial intelligence of computers, and is a question processing method based on knowledge and logic. Specifically, it is a method for quickly forming a multilingual question-and-answer interface based on domain ontology and template logic, which can be applied to domain-oriented and multilingual intelligent information Retrieval and automatic question answering system. Background technique [0002] With the rapid development of Internet technology, the network information has grown exponentially. In order to quickly and accurately obtain the required information from these massive amounts of information, traditional search engines can no longer meet the needs of users. Intelligent information retrieval and automatic question answering systems are due to It can answer user questions accurately and directly, and is gradually becoming the focus and hot spot of research. However, due to the diversity and randomness ...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of Internet technology, the network information has grown exponentially. In order to quickly and accurately obtain the required information from these massive amounts of information, traditional search engines can no longer meet the needs of users. Intelligent information retrieval and automatic question answering systems are due to It can answer user questions accurately and directly, and is gradually becoming the focus and hot spot of research. However, due to the diversity and randomness of user questions, it is very difficult to accurately obtain the semantics and expectations of user questions. The accuracy of information retrieval answers is not high

On the other hand, in the context of global integration, people not only rely on their mother tongue to retrieve information, but also hope to realize cross-lingual information query and obtain various data information from information databases in different languages. However, cross-lingual questions automatically Translation is still a difficult problem in the field of natural language processing

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