Meaning Based Computing (MBC)

Autonomy is the acknowledged leader in the rapidly growing area of MBC. MBC refers to the ability to form an understanding of all information, whether structured, semi-structured or unstructured, and recognize the relationships that exist within it. This allows computers to harness the richness of human information, bringing meaning to all data, regardless of what or where it is. Through sophisticated functionality and analytics, MBC automates manual operations in real-time to offer true business value.

"Autonomy is the Leader Of Meaning Based Computing Technology"

Goldman Sachs

MBC extends far beyond traditional methods such as keyword search which simply allow users to find and retrieve data. Keyword search engines, for example, cannot comprehend the meaning of information, so they only find documents in which a specific word occurs. Unfortunately, this inability to understand information means that other documents that discuss the same idea (i.e. are relevant) but use different words, are often overlooked. Equally, documents with a meaning entirely different to that which the user searches for are frequently returned, forcing the user to alter their query to accommodate the search engine.

While Autonomy offers and acknowledges the importance of keyword technologies, MBC enables advanced capabilities based on a conceptual and contextual understanding of information. Some of the key functionalities of MBC such as automatic hyperlinking and clustering are simply not available in keyword search engines. For example, automatic hyperlinking, which connects users to a range of pertinent documents, services or products that are contextually linked to the original text, requires that the meaning of the original document is fully understood. Similarly, for computers to automatically collect, analyze and organize information, computers have to be able to extract meaning. Only MBC systems can do this.

"We see Autonomy as a long term leader"

Morgan Stanley, 2008

via autonomy.com

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