Intelligent interactive question and answer method, system and device based on Markov logic network

Abstract

The invention belongs to the technical field of network communication and computers, particularly relates to an intelligent interactive question and answer method, system and device based on a Markovlogic network, and aims to solve the problems that an intelligent question and answer system cannot effectively combine context and background in practical application, cannot feed back in real time and is low in efficiency. The method comprises the following steps: analyzing input information, extracting a structured tuple, and performing semantic expansion by adopting a domain knowledge map; Activating related rules in the domain knowledge map, assigning values to the evidence tuples by adopting an approximate reasoning and / or information input mode, and calculating the posterior probabilityof the candidate response information; And outputting a preset number of pieces of response information with high posterior probability. According to the method, context operation and domain uncertainty knowledge can be effectively fused, approximate deduction and user interaction are powerfully combined, an effective solution is truly provided, meanwhile, automatic induction of knowledge can beachieved, and labor and data cost is reduced.

Description

technical field [0001] The invention belongs to the field of network communication and computer technology, and in particular relates to an intelligent interactive question answering method, system and device based on a Markov logic network. Background technique [0002] Fault analysis and diagnosis of network equipment and communication equipment play a vital role in the operation and maintenance of communication equipment manufacturers. Due to the complexity of the structure and components, the types of failures are varied. Based on the association analysis of equipment operation and maintenance big data, it is absolutely necessary to automatically detect the cause of the fault and give a solution. The problem of intelligent diagnosis can be formalized as the interaction or influence between various types of objects. This complexity and uncertainty are difficult to express through traditional features. Under the framework of traditional artificial intelligence, uncertain...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems in the prior art, that is, the intelligent question answering system cannot effectively combine context and background in practical applications, and cannot provide real-time feedback and low efficiency. The present invention provides an intelligent interaction based on Markov logic network question-and-answer methods, including:

Images