conceptSearch is the core technology within our powerful text retrieval suite. This unique, language independent technology is the first ever text retrieval solution to integrate relevance ranking based upon the Probabilistic Model (Bayesian Inference), concept identification based upon Shannon's Information Theory, and Probabilistic Latent Semantic Indexing (PLSI).

Now, true multi-word phrases can be detected and captured for enhanced document and content matching. conceptSearch was developed using a truly open architecture strategy, providing developers an extremely simple integration environment, with all Application Programming Interfaces (APIs) based on XML and Web Services.

The key points to note are as follows:

• Relevance Ranking based on the Probabilistic Model (Bayesian Inference)
• Concept identification based on Shannon's Information Theory
• Probabilistic Latent Semantic Indexing
• Cross platform compatibility via Web Services
• All Application Programming Interfaces (APIs) based on XML
• Transparent access to system internals including the statistical profile of terms
• Cost of ownership is an order of magnitude cheaper than the established vendors

To see the Product Data Sheet click here

To see the Technology Overview White Paper click here