發(fā)布時(shí)間：2018-05-08 06:01

  本文選題：信息過載 + 搜索引擎　； 參考：《華中科技大學(xué)》2013年碩士論文

【摘要】：近年來，隨著互聯(lián)網(wǎng)的迅速普及和發(fā)展，特別是當(dāng)智能手持設(shè)備和移動(dòng)互聯(lián)網(wǎng)普及以來，人們獲取信息的渠道得到了空前的擴(kuò)展。隨著以微博為代表的一系列自媒體網(wǎng)絡(luò)應(yīng)用的風(fēng)靡，互聯(lián)網(wǎng)已經(jīng)演化為一個(gè)復(fù)雜的實(shí)時(shí)信息發(fā)布和傳播平臺(tái)。信息量的空前爆炸對(duì)老舊的信息獲取方式提出了新的挑戰(zhàn)。 目前，社會(huì)信息已經(jīng)超過了個(gè)人或系統(tǒng)所能接受、處理或有效利用的范圍。這種現(xiàn)象集中表現(xiàn)為受傳者對(duì)信息反應(yīng)的速度遠(yuǎn)遠(yuǎn)低于信息傳播的速度，大眾媒介中的信息量大大高于受眾所能消費(fèi)、承受或需要的信息量，而且大量無關(guān)的沒用的冗余的數(shù)據(jù)信息嚴(yán)重干擾了受眾對(duì)相關(guān)有用信息的準(zhǔn)確性的選擇。 以Google為代表的傳統(tǒng)的搜索引擎為人們檢索信息來帶了很大的便利。然而，索搜引擎的功能僅僅是對(duì)網(wǎng)頁進(jìn)行檢索，并不能直接返回用戶需要的信息和知識(shí)，并不能很好的解決信息過載帶來的種種挑戰(zhàn)。因此，能夠根據(jù)用戶的請(qǐng)求直接返回其需要的知識(shí)的搜索技術(shù)成為下一代搜索引擎的研究熱點(diǎn)。 本課題提出了一種基于信息抽取和傾向性分析技術(shù)的知識(shí)獲取和搜索系統(tǒng)，希望通過這一探索為整理和獲取互聯(lián)網(wǎng)上的知識(shí)，并為用戶提供更具特色的服務(wù)提供一些新的思路。
[Abstract]:In recent years, with the rapid popularization and development of the Internet, especially when the smart handheld devices and mobile Internet become popular, people's access to information has been expanded unprecedented. With the popularity of a series of self-media network applications represented by Weibo, the Internet has evolved into a complex real-time information publishing and dissemination platform. The unprecedented explosion of information presents a new challenge to the old ways of obtaining information. At present, social information has exceeded the range that individuals or systems can accept, process or effectively use. This phenomenon is manifested in the fact that the speed at which the information is transmitted is far slower than the speed at which the information is transmitted, and the amount of information in the mass media is much higher than the amount of information that the audience can consume, bear or need. Moreover, a large amount of irrelevant and useless redundant data seriously interferes with the audience's choice of accuracy of relevant useful information. The traditional search engine, represented by Google, provides great convenience for people to retrieve information. However, the function of search engine is only to search the web pages, which can not directly return the information and knowledge that users need, and can not solve all kinds of challenges caused by information overload. Therefore, the search technology which can directly return the knowledge required by the user has become the research hotspot of the next generation search engine. This paper presents a knowledge acquisition and search system based on information extraction and orientation analysis technology, hoping to provide some new ideas for collating and acquiring knowledge on the Internet and providing users with more characteristic services.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP391.3

【參考文獻(xiàn)】

相關(guān)期刊論文 前7條

1 何婷婷;徐超;李晶;趙君U，

本文編號(hào)：1860244