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Research And Implementation Of Intelligent Multimedia Q & A System Based On Flex

Posted on:2013-01-08Degree:MasterType:Thesis
Country:ChinaCandidate:L H XueFull Text:PDF
GTID:2248330371466929Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the development of multimedia and Internet technology, Internet has become more and more popular in education and teaching. Q&A system is an essential part of traditional education and online education.There are mainly four ways of Q&A in online education currently including frequently asked questions, Email, instant message and BBS without introducing multimedia experiences and Q&A for student oriented system.This paper proposes an independent multimedia intelligent Q&A system against the insufficient of current Q&A system. This system has some key features like multimedia interaction, recording of the Q&A process, classification of frequently asked questions and intelligent retrieving. On the condition of good user experience, this system combines all the features based on Flex and Red5. This system is relatively independent and published through Tomcat application server, so it can be integrated with all kinds of education system based on Web. Most of the modules in this system can be customized according to the integrated system. All the users’ information is transferred from the education system.This paper researches the current Q&A system home and abroad based on the given real-time online chatting system. Then it studies the key technologies including Flash P2P, Chinese word segmentation and full text retrieval etc. After that, it makes a uniform design and development of this intelligent Q&A system. All the functions are including searching the chat history, one on one video and audio chat, offline message, notification through Email and intelligent Q&A library query etc. Finally, make the function and performance test and forecast the direction of improving.
Keywords/Search Tags:multimedia intelligent Q&A, Chinese word segmentation, full text retrieval
PDF Full Text Request
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