BOSTON, MA--(Marketwire - September 22, 2010) - Sophia, the innovation leader in contextually aware enterprise search solutions, today announced Sophia Search, a new search solution which 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. Using Sophia Search, organizations are able to minimize compliance risk and reduce the cost of storing and managing enterprise information.
Sophia Search is able to deliver a three-dimensional solution to discover, consolidate and optimize enterprise data, regardless of its data type or domain.
- Discover -- Sophia Search transforms the way organizations manage and analyze critical information by discovering the themes and intrinsic relationships behind their information, without any reliance on taxonomies or ontologies, so that more relevant information may be discovered, extracted and leveraged.
- Consolidate -- By identifying both duplicates and near duplicates, Sophia Search allows organizations to effectively consolidate their information thus minimizing storage and management costs.
- Optimize -- Sophia Search provides partners and organizations with the contextual data that helps them to optimize their information landscape for more accurate search, analytics and compliance.
Sophia customer, Wordtracker, is a company that helps website owners and search engine marketers identify keywords and phrases that are relevant to their or their clients' business and most likely to be used as queries by search engine visitors. Sophia Search's Contextual Discovery Engine has resulted in dramatic improvements in keyword insights for Wordtracker customers by increasing the number of quality keywords up to 100 percent automatically harvested from content.
"Sophia test results have shown the potential to greatly improve the quality of keyword insights that we are able to provide our customers," said Ken McGaffiin, chief marketing officer, Wordtracker. "This is a perspective that is not offered by our competitors and one we are keen to develop."
Sophia Search features a patented Contextual Discovery Engine (CDE) which is based on the linguistic model of Semiotics, the science behind how humans understand the meaning of information in context. 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.
"Organizations seek effective solutions to discover, recover and leverage enterprise information for increased compliance and information optimization," said David Patterson, CEO, Sophia. "We designed Sophia Search to indentify & understand information based on its context so that more relevant information can be easily discovered."
Sophia Search is available now to both customers and partners. Pricing starts at $30,000. For more information, please visit: http://www.sophiasearch.com/.
About Sophia
Established in 2007, Sophia is the innovation leader in contextual enterprise search solutions which empower the organization to intelligently discover knowledge from unstructured content based on context so that it can be recovered, consolidated and optimized. Unlike traditional search solutions that rely on an expensive and limited taxonomical approach, Sophia Search uses a patented Contextual Discovery Engine (CDE) that is powered by a linguistic model called semiotics, to understand meaning and identify intrinsic terms, phrases and relationships in content. This enables organizations to seamlessly search, extract, de-duplicate and eliminate redundancy of content to minimize compliance risk and reduce the cost of storing and managing enterprise information. Sophia is headquartered in Belfast, Ireland and is moving to Boston, Mass. For more information, please visit: http://www.sophiasearch.com/.
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