Natural Language Extraction
ZoomInfo continually crawls the Business Web the millions of company Websites, news feed and other online sources and reads and extracts information. Due to the rich nature of the English lanuage, this is a complicated process. For example, these sentences all communicate similar information:
Emily Wright joined ACME Corp. in 1997 as CFO.
Emily Wright, ACME Corp.'s CFO, joined the company in 1997.
In 1997, ACME Corp. hired Emily Wright to serve as its CFO.
CFO Emily Wright came to ACME Corp in 1997.
However, the following sentence, with a similar structure, has a completely different meaning:
Representative Emily Wright came to Washington in 1997.
Using proprietary Natural Language Extraction technology, ZoomInfo analyzes sentence structure, relationships between words and verb meanings to interpret each sentence. ZoomInfo recognizes that names and proper nouns may have aliases. For example, "Robert Smith" and "Bob Smith" can be the same person. "Federal Express" and "FedEx" refer to the same company. ZoomInfo sifts through the information and extracts relevant data, such as names, titles, companies, products and services and stores it.
Extracting information from sentences is step one. Next, ZoomInfo's Artificial Intelligence algorithms answer questions about the data. For instance, in the above example of Emily Wright and ACME, questions may be: What is ACME Corporation? Where is the company located? Similarly, Artificial Intelligence algorithms are used to resolve data conflicts like multiple names for the same organization or an individual.
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