Sophia Unveils New Approach to Enterprise Search

According to Sophia CEO David Paterson, Sophia Search was created using a semiotic linguistic model jointly developed by research teams at the University of Ulster in Northern Ireland and the University of Saint Petersburg in Russia.

Rather than taking a brute-force approach to indexing that relies on taxonomy and ontology, Paterson says the Sophia search engine relies on a Contextual Discovery Engine that learns the nuances of documents by applying a semiotic approach to discover not only what is in a document but also its relative context to the search request.

In addition, Sophia can identify which documents in the search results have been most frequently accessed to give users another indication of how relevant a document might be to their query, said Paterson. That ability also allows IT organizations to deduplicate copies of redundant documents and essentially develop “heat maps” that identify which documents are most frequently accessed in the enterprise, which is a critical requirement in defining a practical archiving strategy.

Pricing for Sophia Search starts at $50,000.