Knowledge Mining
What is Knowledge Mining?
We call Knowledge Mining a powerful solution that makes it easier to access the information available in a company’s documents by leveraging intensive use of Artificial Intelligence applications.
Knowledge Mining changes the way document repositories are queried within organizations. It moves beyond keyword-based search tools—where manual tagging is required to link content to the formulated question—or predefined search criteria set by the system. In other words, these are highly inflexible search systems that demand significant manual intervention.
Thanks to advances in artificial intelligence technology, cognitive search systems are now widely used.
Today we have algorithms capable of “scanning” documents and understanding their content. We call the search cognitive because it leverages multiple artificial intelligence services: computer vision, text and image processing, and language understanding are some of them.
In other words, we can find information contained in all types of documents—PDFs, Word files, presentations, tables, images, web pages, handwritten notes, and more—available in any company repository.
Without human intervention, all elements of a document are automatically recognized: numbers, words and key phrases, names of people and organizations, titles, and text within images. It can also infer sentiment (positive or negative) from the language used, detect the language, and provide automatic translations.
In short, accessing document content using AI technologies to understand the information being searched can drastically reduce the amount of time users spend each day finding internal data or corporate information.