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Research and Design of Merchandise Query Service System

Author: JinEnNian
Tutor: HuangGuoXing
School: East China Normal University
Course: Applied Computer Technology
Keywords: Database natural language query interface Database semantic knowledge Forward maximum matching algorithm Question Semantic understanding Knowledge base Goods query
CLC: TP311.52
Type: Master's thesis
Year: 2006
Downloads: 58
Quote: 2
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Abstract


Online shopping a convenient , low- cost , high- efficiency , selectivity , etc. , has been more and more people accepted and become a commercial form of a can not be ignored . However , in the initial stages of shopping online , consumers in order to find the goods often have to access a number of different shopping sites , and each time experience to fill the query form and cumbersome product information query process . People online to make the shopping experience more convenient , natural and humane , this paper, the subject of the research and design of the intelligent the commodity query service system . The system allows people to use natural language most familiar commodity information inquiries , questions will be entered by the user is converted into the SQL query for one or more of the sales of such goods shopping site back-end database , then SQL query to to perform to the corresponding shopping site will eventually integrate database query results from various shopping websites in conjunction returned to the user. The intelligent product inquiry service system essentially is a Chinese natural language database query interface (NLIDB) commodity information query , the main work of this paper include : natural language query questions to the SQL query to convert this goal , Knowledge Base design intelligent the commodity query service system ; questions lexical analysis process used in questions the improved algorithm IMM forward maximum matching algorithm based automatic segmentation , and discussion to ask sentence, the numerical word recognition problem and how to determine the word 's the database semantic approach : semantic understanding of the process of the questions , Question Interpretation oriented SQL conversion model SCUM , the model questions string of words can be directly converted SQL query into an executable ; final design and initial realization of a smart product inquiry service prototype system iAnswer shopping site back-end database fields of different commodities on the basis of the database semantic knowledge extracted , iAnswer system for natural language query , and have a certain amount of hidden information in the database processing power .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
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