Who creates data, information and knowledge? Quite often humans, and we do it through language, the natural language we use every day on Facebook, to make notes in a spreadsheet or when we leave a comment while shopping online. The importance of Natural Language Processing (NLP) will only grow as more data comes to resemble the way we talk, write, and behave, rather than the binary code of computers or the structured format of databases. Enterra’s NLP capabilities automate the processing of unstructured data, a technically challenging yet key component to effectively leverage Big Data. The Enterra Enterprise Cognitive System™ (ECS) interprets natural language for various purposes:

  • Extracting information from communications such as social media posts, magazine articles, internet content, and so on.
  • Extracting rules from documents, which could be business, industry, or regulatory. Keeping a connection to the source documents is critical so we can know where all our knowledge originated.
  • Translating loosely formatted knowledge such as food recipes or survey responses.

The acquired knowledge is translated into new ontology terms, rules or data where appropriate. The source is stored so we always know the origin and timeframe. This enhanced NLP capability creates a rich web of knowledge that allows the Enterra ECS to Sense, Think, Act and Learn™ from all types of unstructured text, regardless of format or source.