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Timothy Berners-Lee might be giving Bill Gates a run for the money, but he passed up his shot at fabulous wealth—intentionally—in 1990. That’s when he decided not to patent the technology used to create the most important software innovation in the final decade of the 20th century: the World Wide Web. Berners-Lee wanted to make the world a richer place, not a mass personal wealth. So he gave his brainchild to us all.
Berners-Lee regards today’s Web as a rebellious adolescent that can never fulfill his original expectations. By 2005, he hopes to begin replacing it with the Semantic Web—a smart network that will finally understand human languages and make computers virtually as easy to work with as other humans.
As envisioned by Berners-Lee, the new Web would understand not only the meaning of words and concepts but also the logical relationships among them. That has awesome potential. Most knowledge is built on two pillars: semantics and mathematics. In number-crunching, computers already outclass people. Machines that are equally adroit at dealing with language and reason won’t just help people uncover new insights; they could blaze new trails on their own.
Even with a fairly crude version of this future Web, mining online repositories for nuggets of knowledge would no longer force people to wade through screen after screen of extraneous data. Instead, computers would dispatch intelligent agents, or software messengers, to explore Web sites by the thousands and logically sift out just what’s relevant. That alone would provide a major boost in productivity at work and at home. But there’s far more.
Software agents could also take on many routine business chores, such as helping manufacturers find and negotiate with lowest-cost parts suppliers and handling help-desk questions. The Semantic Web would also be a bottomless trove of eureka insights. Most inventions and scientific breakthroughs, including today’s Web, spring from novel combinations of existing knowledge. The Semantic Web would make it possible to evaluate more combinations overnight than a person could juggle in a lifetime. Sure scientists and other people can post ideas on the Web today for others to read. But with machines doing the reading and translating technical terms, related ideas from millions of Web pages could be distilled and summarized. That will lift the ability to assess and integrate information to new heights. The Semantic Web, Berners-Lee predicts, will help more people become more intuitive as well as more analytical. It will foster global collaborations among people with diverse cultural perspectives, so we have a better chance of finding the right solutions to the really big issues—like the environment and climate warming.
1. Had he liked, Berners-Lee could have _____.
[A]created the most important innovation in the 1990s
[B]accumulated as much personal wealth as Bill Gates
[C]patented the technology of Microsoft software
[D]given his brainchild to us all
2. The Semantic Web will be superior to today’s web in that it _____.
[A]surpasses people in processing numbers
[B]fulfills user’s original expectations
[C]deals with language and reason as well as number
[D]responds like a rebellious adult
3. To search for any information needed on tomorrow’s Web, one only has to _____.
[A]wade through screen after screen of extraneous data
[B]ask the Web to dispatch some messenger to his door
[C]use smart software programs called “agents”
[D]explore Web sites by the thousands and pick out what’s relevant
4. Thanks to the Web of the future, _____.
[A]millions of web pages can be translated overnight
[B]one can find most inventions and breakthroughs online
[C]software manufacturers can lower the cost of computer parts
[D]scientists using different specialty terms can collaborate much better
5. The most appropriate title for this text is.
[A]Differences between Two Webs
[B]The Humanization of Computer Software
[C]A New Solution to World Problems
[D]The Creator and His Next Creation
參考答案
1. B 2.C 3.C 4.D 5.D
1.【金考網(wǎng)銀行招聘答案解析】本題考查考生根據(jù)上下文進(jìn)行推理的能力。文章一開(kāi)始就提到,“伯納斯?李原本可以在財(cái)富上與比爾?蓋茨一比高低,但是1990年他主動(dòng)放棄了獲得巨額財(cái)富的機(jī)會(huì)。give sb a (good) run for their money“不讓……輕易取勝,與……進(jìn)行激烈竟?fàn)帯?,pass up “放棄,不要(機(jī)會(huì)等)”。第一段倒數(shù)第二句又接著提到,“他想讓世界變得更加富有,而不是積累個(gè)人財(cái)富,所以他把互聯(lián)網(wǎng)這個(gè)他個(gè)人智慧的結(jié)晶無(wú)償給了我們”。由此我們可以推出[B]項(xiàng)表述了他有能力卻不愿意做的事情。
文章第一段中間部分說(shuō)到:伯納斯?李決定不為用來(lái)創(chuàng)造20世紀(jì)90年代最重要的軟件發(fā)明(萬(wàn)維網(wǎng))的技術(shù)申請(qǐng)專利。[A]、[C]項(xiàng)是對(duì)文意的曲解。[D]項(xiàng)在首段末句提到,是伯納斯?李已經(jīng)做到的事情。
2.【金考網(wǎng)銀行招聘答案解析】本題考查事實(shí)細(xì)節(jié)。由文章的第三段首句可知:新的萬(wàn)維網(wǎng)將不止能理解詞語(yǔ)和概念的意思,還能理解它們之間的邏輯關(guān)系。[C]項(xiàng)的language對(duì)應(yīng)原文中的the meaning of words and concepts, reason對(duì)應(yīng)the logic relationships among them,因此是正確項(xiàng)。
第三段第四句提到:現(xiàn)在的計(jì)算機(jī)(即今天的網(wǎng)絡(luò))在處理數(shù)據(jù)方面已超過(guò)了人類,因此[A]項(xiàng)不是語(yǔ)義萬(wàn)維網(wǎng)比現(xiàn)在網(wǎng)絡(luò)優(yōu)越的理由。第二段首句提到伯納斯?李認(rèn)為今天的網(wǎng)絡(luò)像一個(gè)反叛的青少年,永遠(yuǎn)達(dá)不到他(發(fā)明者)最初的期望。[B]、[D]項(xiàng)替換詞匯為“使用者”和“成年人”,是對(duì)該句的歪曲引申。
3.【金考網(wǎng)銀行招聘答案解析】本題考查事實(shí)細(xì)節(jié)??捎门懦āN恼碌谒亩翁岬?,“即使使用未來(lái)網(wǎng)絡(luò)的一個(gè)很原始版本,在巨大的網(wǎng)絡(luò)資源庫(kù)中尋找所需信息時(shí),人們也不必在一屏一屏的無(wú)關(guān)信息中艱難搜索了。相反,電腦將派出智能代理商或軟件使者(代替你)查詢上千個(gè)網(wǎng)站,并按邏輯濾出相關(guān)信息?!盵A]、[D]項(xiàng)是在未來(lái)網(wǎng)絡(luò)中人不用做的,與題目要求不符。[B]項(xiàng)是對(duì)文章望文生義,本身錯(cuò)誤。只有[C]項(xiàng)正確,第四段中所述未來(lái)網(wǎng)絡(luò)的優(yōu)勢(shì),都是你使用它的智能程序這個(gè)前提下的結(jié)果。
4.【金考網(wǎng)銀行招聘答案解析】本題考查事實(shí)細(xì)節(jié)題。題干要求選出未來(lái)網(wǎng)絡(luò)帶來(lái)的好處。第五段最后三句提到:語(yǔ)義萬(wàn)維網(wǎng)可以閱讀并翻譯專業(yè)術(shù)語(yǔ),從上百萬(wàn)的網(wǎng)站提取總結(jié)相關(guān)信息;促進(jìn)全球不同文化背景的人之間的合作。[D]項(xiàng)scientists是不同文化背景的人的一個(gè)特例,所以是正確項(xiàng)。
[A]項(xiàng)錯(cuò)誤,因?yàn)樵摱蔚谒木涮岬給vernight時(shí),是說(shuō)語(yǔ)義萬(wàn)維網(wǎng)可以在一夜之間比一個(gè)人一輩子評(píng)估的知識(shí)的聯(lián)合還要多,而不是翻譯網(wǎng)頁(yè)。[B]項(xiàng)的內(nèi)容是現(xiàn)在的網(wǎng)絡(luò)就能做到的,不能作為未來(lái)網(wǎng)絡(luò)的好處。[C]項(xiàng)文章沒(méi)有提及,文中只是說(shuō)到軟件代理商能幫助制造商找到成本最低的零件供應(yīng)商,并和他們洽談。
5.[精解]本題通過(guò)選標(biāo)題的形式考查了文章的主旨。文章主要介紹了著名科學(xué)家伯納斯?李以及他將要研究出的語(yǔ)義萬(wàn)維網(wǎng),所以[D]項(xiàng)正確。在分析中,為了說(shuō)明將來(lái)的網(wǎng)絡(luò),把它和現(xiàn)在的萬(wàn)維網(wǎng)進(jìn)行了比較,但這僅僅是為了更好說(shuō)明語(yǔ)義萬(wàn)維網(wǎng)的優(yōu)點(diǎn)。所以不選[A]項(xiàng)。[B]項(xiàng)是未來(lái)萬(wàn)維網(wǎng)的一個(gè)目標(biāo),只是文章所述內(nèi)容的一個(gè)方面,不能作為文章主旨。[C]項(xiàng)在文章最后點(diǎn)到,也不是主旨。
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