Another Semantic Technology Release

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.

Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.