when you're doing a Search, well they aren't just words, they refer to real things in the

那該有多好啊！ 字詞不只是字和字的拼湊

world? That a building is a building and an animal is an animal and that they're not just

而是指這個世界實際存在的事物 拿建築物和動物來說

random strings of characters. If we could understand that those words are talking about

這兩個詞並不是隨意拼湊的 如果我們能知道這類字詞指的是

those real world things, then we can do a better job of getting you just the content

現實世界中的哪些事物 就能為您提供更精確的網路搜尋結果

that you want off the web. Shashi Thakur:The way Google is trying to build information

Shashi Thakur：Google 透過建構知識圖譜的方法 試著為現實事物的關聯性建立相關資訊

about real world connections is by building a Knowledge Graph. The Knowledge Graph is

知識圖譜是現實事物的資訊集合 所謂的事物可能是人物、書籍

about collecting information about objects in the real world. The object could be a person,

電影或其他類型的東西 例如，我們會收集知名人士的

could be a book, could be a movie, and many other types of things. For example, for a

生日、身高等相關資料

famous person, we collect relevant data about them, such as their date of birth, or how

同時在知識圖譜中將此人 與其密切相關的事物建立連結

tall they are. We can also connect that person to closely related objects in the Knowledge

Jack Menzel：如果您想瞭解 文藝復興時期的畫家

Graph. Jack Menzel: Let's say you're interested in Renaissance painters. Or how about how

或者想知道女性諾貝爾獎得主有幾位 那麼，只要能瞭解事物之間的關聯性

many women have won the Nobel prize? By understanding the relationships between things—be it between

例如畫家與文藝復興時期之間的關聯 或女性與諾貝爾獎之間的關聯

painters and the Renaissance or women and the Nobel prize—Google can do a better job

Google 就能精確掌握您要搜尋的事物 Shashi Thakur：我們首先要介紹的

of understanding what it is exactly you're searching for. Shashi Thakur: One of the first

一項知識圖譜應用功能就是 位於網頁搜尋結果旁邊的面板

features we're going to introduce which applies the Knowledge Graph is a panel next to the

Emily Moxley：當您要搜尋某個問題的答案時 可能已經有人在 Google

web results. Emily Moxley: When you have a question to answer, others may have come to

搜尋過相同的問題 Google 會將其他人覺得實用的資訊

Google already to search for the same thing. Google can jumpstart your research process

與知識圖譜中的資訊結合起來 立即為您展開搜尋

by combining the information that others found useful with the information in the: All of

舉凡搜尋引擎收集的人類智慧結晶 以及使用者的搜尋內容

the collective human wisdom that comes through our Search Engine, what people are searching

都能讓我們知道 哪些有趣的事物值得放入資料庫中

for tells us what are the interesting things to put in our database. Shashi Thakur: Take

Shashi Thakur：以達文西為例 假設您想瞭解文藝復興時期最重要的畫家

Leonardo da Vinci. Let’s say you wanted to learn about the most important Renaissance

您可能會搜尋達文西，因為他是您目前 唯一知道的文藝復興時期畫家

painters. You might search for ‘Leonardo da Vinci’ because he’s the only Renaissance

現在，搜尋結果會直接顯示相關資訊

painter you know about. Now, you’ll see information right in the search results that

協助您更廣泛地探索文藝復興時期的畫家 並顯示同期最有名的一些畫作

helps you explore the broader topic of Renaissance painters. You’ll see some of the most famous

例如蒙娜麗莎的微笑 還能讓您發掘同一時期的其他畫家

paintings from that era, like the Mona Lisa, and discover other painters of that time,

例如米開朗基羅和拉斐爾 Johanna Wright：我們正在逐步改進資訊引擎

like Michelangelo and Raphael. Johanna Wright: We're in the early phases of moving from being

試著向知識引擎邁進 這些改進只是實現以上目標的一小步

an Information engine to becoming a Knowledge engine and these enhancements are one step

Shashi Thakur：隨著我們不斷充實知識圖譜 其規模也越來越龐大、內容也更豐富

in that direction. Shashi Thakur: As we grow the Knowledge Graph and make it larger and

我們也很高興有機會 深入研究使用者的查詢內容

richer, we are really excited at the opportunity we have to understand more of the user's queries,

並進一步瞭解網路上的資訊

to understand more about the information that's out there on the web, and intelligently connect

然後將兩者巧妙地結合在一起

the two to each other.