Accurate access to documents containing answers to your questions
A system that through artificial intelligence and machine learning mechanisms:
Understands the contents of documents stored in its database. Document content is automatically analyzed for occurrences of named entities (naming units), identification data, numerical data in tables, image content. Key phrases and abstracts are determined.
It learns and adapts its operation to the organization's processes based on user interaction. It can supplement automatically generated document information, for example, by assigning tags.
It provides quick access to information through powerful indexes and contextual information retrieval mechanisms that supplement traditional full-text search mechanisms with context derived from the semantics of the search phrases.
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The development of the algorithms used in the system is supported by a research and development project co-financed by the NCBiR