本文選題：全文檢索 + Dotlucence��； 參考：《中南大學(xué)》2011年碩士論文

【摘要】：短信是全球電信業(yè)上世紀(jì)九十年代后期推出的一項(xiàng)新業(yè)務(wù)。短信收費(fèi)低、不受場(chǎng)地限制、發(fā)送方不需要考慮對(duì)方手機(jī)的使用狀態(tài)。在眾多的通信產(chǎn)品中,短信成為了普通老百姓最常用的一種通訊方式�，F(xiàn)針對(duì)短信的應(yīng)用也非常的多,例如：短信廣告、短信網(wǎng)上身份認(rèn)證、短信提醒等。 本文基于短信的方便快捷,開發(fā)了企業(yè)短信互動(dòng)系統(tǒng)。該系統(tǒng)用于企業(yè)內(nèi)部對(duì)員工的學(xué)習(xí)、培訓(xùn)與交流,便于企業(yè)與員工進(jìn)行信息溝通。本系統(tǒng)的主要功能模塊是短信投票、短信答題、短信互動(dòng)、短信公告,所有模塊的短信收發(fā)都是通過短信收發(fā)引擎實(shí)現(xiàn)。 本文就短信互動(dòng)模塊如何實(shí)現(xiàn)系統(tǒng)自動(dòng)答題進(jìn)行了分析研究。首先對(duì)傳統(tǒng)數(shù)據(jù)庫索引方法與全文檢索的特點(diǎn)進(jìn)行了分析比較,結(jié)合企業(yè)實(shí)際需求,系統(tǒng)采用全文檢索工具Dotlucene實(shí)現(xiàn)了對(duì)短信答題庫的檢索,通過對(duì)自然語言的研究、詞法分析、語法分析選擇了一種建立關(guān)鍵詞庫的方式,動(dòng)態(tài)實(shí)現(xiàn)了員工與企業(yè)系統(tǒng)平臺(tái)的知識(shí)問答。在短信答題模塊中對(duì)題庫結(jié)構(gòu)進(jìn)行了設(shè)計(jì),并對(duì)現(xiàn)有系統(tǒng)采用的隨機(jī)抽題方法進(jìn)行了改進(jìn),采用人工設(shè)定初始值結(jié)合按題型、知識(shí)點(diǎn)分類的方法進(jìn)行隨機(jī)抽題,最后將抽好的套題以鏈表的形式存儲(chǔ)。這種方法抽出來的題知識(shí)點(diǎn)分布均勻、節(jié)約系統(tǒng)資源,適應(yīng)題庫大、答題人員數(shù)量多的情況。 最后本文對(duì)這些開發(fā)工作與技術(shù)的研究進(jìn)行了總結(jié),并闡述了系統(tǒng)進(jìn)一步擴(kuò)充與完善的建議與方案。
[Abstract]:SMS is a new business in the global telecom industry in the late 1990 s. SMS charges are low, not subject to site restrictions, the sender does not need to consider the use of the other cell phone status. Among many communication products, SMS has become one of the most commonly used communication methods for ordinary people. The application of SMS is also very many, such as: SMS advertising, SMS online identity authentication, SMS reminders, and so on. Based on the convenience and shortcut of short message, this paper develops an interactive system of enterprise short message. The system is used to learn, train and communicate with employees. The main function modules of this system are short message voting, short message answering questions, short message interaction, short message announcement. This paper analyzes and studies how the short message interactive module realizes the automatic answer of the system. Firstly, the characteristics of traditional database indexing method and full-text retrieval are analyzed and compared. In combination with the actual needs of enterprises, the system adopts Dotlucene, a full-text retrieval tool, to retrieve the short message answer database. Through the study of natural language, the lexical analysis is carried out. Grammar analysis chooses a way to set up keyword database, and realizes the question and answer of employee and enterprise system platform dynamically. In the short message answer module, the structure of question bank is designed, and the method of random question extraction is improved. The method of manual setting initial value combined with classification of question type and knowledge point is used to select questions randomly. Finally, the selected set of questions will be stored in the form of a linked list. This method has the advantages of uniform distribution of knowledge points, saving system resources and adapting to the situation of large question bank and large number of answering personnel. Finally, this paper summarizes the research of these development work and technology, and expounds the suggestions and schemes for further expansion and improvement of the system.
【學(xué)位授予單位】：中南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類號(hào)】：TP311.52;TN929.53

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 盧紹偉;公安部門短信息平臺(tái)系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)[D];上海交通大學(xué);2012年

，

本文編號(hào)：2098338