Extractor
Extractor effectively identifies the relationships between documents that are stored on servers in different geographic locations; managed in a variety of business applications and that are created by internal and external sources. This is useful for a variety of purposes including increasing sales in ecommerce, connecting the dots in counter-terrorism and enhancing the effectiveness of competitive analysis applications.
Because entity extraction creates additional metadata around the context of a search, "it improves the richness and accuracy of the search process." - Hadley Reynolds, vice president and director of research at Delphi Group
Take action on the names, locations and other patterns found in your enterprise content
With Extractor you can identify valuable patterns of information, whether they're from a single application such as a content management system, or in documents, databases and emails that are stored in applications and servers around the world. When viewed alongside each other, these entities can reveal market trends, customer behavior, risks and opportunities.
Identify and extract the exact information you need to find
The most common information entities are ready to deploy out-of-the-box with Extractor. They include: names of commercial organizations, people, places, postal/Internet addresses, phone numbers, dates, times, numbers, prices and amount of currency, Imperial and metric measures, Social Security numbers, job titles, and holidays. Along with the provided entities, Extractor also permits custom entities to be built and deployed to meet specific objectives.
Add the value of information extraction to K2's premier business search capabilities
Extractor is the only product on the market that is designed to integrate directly with the search, classification and recommendation features that are required to identify patterns and take action on the extracted entities. This means each component of your solution is optimized to work together with the names, places and other entities extracted from your content.
