Concept

With the growing competitive nature of current businesses, and the voluminous growth in data, there has also been an explosive growth in the unstructured form of data like documents, mails, multimedia content, etc.

Finding information out of this data, has been a major problem using he traditional tools or technology available.

This is where Meaning based Computing or Concept based Search plays an instrumental role in facilitating the retrieval and access of relevant data.

Meaning based computing enables the users to establish the relationship between the existing disparate data sources and finding out the relevance of information residing in unstructured formats.

This facilitates performing of complex analysis operations with real business value and in real-time.

The Meaning Based Computing or Concept based Search is typically used for:
Knowledge Management
E Governance
Extended Enterprise Search

Meaning based Computing vs. Traditional Keyword Search
Key word search products were developed simply to find documents in which a word occurs. This resulted in retrieval of documents with the word mentioned but no relevance to the concept. On the other hand, the Meaning based Computing, being concept based search, uses complex algorithms to understand and decipher the patterns in data which are most relevant to the concept of the search. Meaning based Computing or Concept based search also provides with advanced and extended functionalities like automatic hyper linking or clustering which are not available in simple keyword search. With Meaning based Computing, the computers automatically collect, analyze, organize and extract meaning out of unstructured data in an organization.