November 1, 2010 – Newly released Sophia Search, a new solution that uses a semiotic-based linguistic model to identify intrinsic terms, phrases and relationships within unstructured content so that it can be efficiently recovered, consolidated and leveraged, delivers a three-dimensional solution.
KMWorld brought this news to our attention in their article, “Three-dimensional search.” Sophia Search manages and analyzes critical information by discovering the themes and intrinsic relationships behind their information, without any reliance on taxonomies or ontologies. Sophia Search features a patented Contextual Discovery Engine (CDE) that is based on the linguistic model of semiotics. The CDE platform automatically detects relationships and themes in unstructured content to enable organizations to seamlessly search, extract, deduplicate and eliminate redundancy of content to minimize risk and reduce the cost of retrieving, storing and managing information.
Semantics keep evolving, but no taxonomies? We’ll have to watch and see on this one.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
