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Classified question-answering system design method based on associated framework of data atlas, information atlas, knowledge atlas and intelligent atlas

A knowledge map and question answering system technology, applied in the field of classification question answering system design, can solve the problems of complex information requirements and low keyword query efficiency, so as to reduce complexity, improve recall rate and precision rate, improve search efficiency and satisfaction effect

Inactive Publication Date: 2017-08-01
HAINAN UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] Technical problem: The purpose of the present invention is to provide a classification question answering system design method based on data map, information map, knowledge map and smart map association architecture, which is used to solve the current user information needs become complicated, and the query efficiency is low only through keywords The problem

Method used

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  • Classified question-answering system design method based on associated framework of data atlas, information atlas, knowledge atlas and intelligent atlas
  • Classified question-answering system design method based on associated framework of data atlas, information atlas, knowledge atlas and intelligent atlas
  • Classified question-answering system design method based on associated framework of data atlas, information atlas, knowledge atlas and intelligent atlas

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Embodiment Construction

[0043] For the convenience of description, we use examples to describe how to answer who (who) or

[0044] Questions guided by when (when) or where (where), questions guided by what (what) through information graphs, questions guided by how (how) through knowledge graphs, answers guided by why (why) through wisdom graphs Guided issues.

[0045] The specific implementation plan is:

[0046] (1) Build a problem pattern library. The present invention classifies the questions into four modes after word segmentation and part-of-speech tagging, which are questions guided by who (who) or when (when) or where (where), and questions guided by what (what) questions, questions guided by how and questions guided by why;

[0047] (2) Calculate the semantic similarity between the interrogative words in the question and the interrogative words in the interrogative vocabulary, and determine the mode to which the question belongs;

[0048] (3) Choose which map to traverse according to the ...

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Abstract

The invention discloses a classified question-answering system design method based on an associated framework of a data atlas, an information atlas, a knowledge atlas and an intelligent atlas, aims to answer a text question which is put forward by a user in a natural language through atlas query and traversal, and belongs to the technical cross field of distributed calculation and software engineering science. The problems which are put forward by the user can be classified according to different question words, questions guided by question words including who, when, where and the like can traverse and search answers on the data atlas, the questions guided by what can search answers on an information atlas, the questions guided by how search answers on the knowledge atlas, and questions guided by why can search questions on the intelligent atlas. In addition, 5W questions are subjected to overlapping and migration on an aspect of semantic expression, and problems can be correspondingly converted.

Description

technical field [0001] The present invention is a design method of classification question answering system based on data map, information map, knowledge map and wisdom map correlation architecture, mainly used to answer text questions raised by users using natural language by querying and traversing maps, and belongs to distributed computing and software Interdisciplinary fields of engineering and technology. Background technique [0002] The knowledge map was officially proposed by Google on May 17, 2012. Its original intention was to improve the capabilities of search engines and enhance users' search quality and search experience. At present, with the continuous development of intelligent information service applications, knowledge graphs have been widely used in intelligent search, intelligent question and answer, personalized recommendation and other fields. Especially in intelligent search, the user's search request is no longer limited to simple keyword matching, an...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3329G06F16/35G06F16/367
Inventor 段玉聪邵礼旭
Owner HAINAN UNIVERSITY
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