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A query processing method for text big data

A technology of processing method and query method, which is applied in the direction of electric digital data processing, special data processing application, relational database, etc., can solve the problems affecting the effect of global data mining, etc., and achieve the effect of eliminating redundancy and improving accuracy

Inactive Publication Date: 2018-04-27
TONGJI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of extended algorithm basically completes the data mining process by locally sampling large text data and using existing algorithms (such as CLARA, CLARANS, and BIRCH, etc.), so the local sampling mechanism largely affects global data mining. Effect

Method used

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  • A query processing method for text big data

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Embodiment

[0039] Such as figure 1 As shown, a query processing method for text big data includes the following steps:

[0040] 1) Standardize the semantics of textual big data, this step includes:

[0041] 11) Construct the query object semantic paradigm model involved in the process of text big data query analysis, through different

[0042] The semantic description specification of the same level paradigm describes the degree of semantic description of each object;

[0043] 12); For different query objects, different levels of paradigm mutual conversion criteria are designed to obtain more precise semantics

[0044] describe;

[0045] 2) Establishing an instruction parsing and query workflow model, this step includes:

[0046] 21) Semantic pre-analysis of query instructions, preliminary analysis of query instructions, so that they have a computer-understandable basic form;

[0047] 22) Construct a query instruction semantic model;

[0048] 23) Instruction semantics are refined, ...

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Abstract

The invention relates to a query processing method for text big data. The query processing method comprises the following steps: 1) regulating text big data semantics, and constructing query target semantic normal form models in a text big data query analyzing process and accurately describing the semantics; 2) establishing instruction analysis and query workflow models, building query instruction semantic models, refining semantics, and selecting and rebuilding the query workflow; 3) controlling the query process, feeding back a result, screening query method models, evaluating and calculating query confidence level, and feeding back a workflow of which the confidence level is the highest. Compared with the prior art, the query processing method is convenient, quick, accurate and reliable.

Description

technical field [0001] The invention relates to the technical field of computer applications, in particular to a method for querying and processing large text data. Background technique [0002] In recent years, query processing on textual big data has become a research hotspot and focus in academia and industry. [0003] Ciaccio AD et al pointed out that traditional query processing methods are usually not suitable for managing and analyzing big text data, and proposed three improved methods TNL, CDCA and SFMAE to effectively query and analyze big text data. Based on the steiner tree theory, SysoevO et al. proposed an effective approximate optimal algorithm to deal with the multivariate monotonic regression problem on large text data. Laurila JK et al designed the LDCC algorithm to effectively analyze the user's communication indicators for the large text data accumulated in the mobile wireless communication network. Oliner A et al. performed consistent encoding on the ne...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/212G06F16/219G06F16/24522G06F16/24528G06F16/24534G06F16/24537G06F16/285G06F40/30
Inventor 黄震华李美子方强张佳雯向阳
Owner TONGJI UNIV
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