Cognition Search has launched - Cognition Technologies

The combination of formal linguistic algorithms with semantic representations is at the core of Cognition's patented technology and combine to fabricate a blue streak semantics via computational parsing. What makes this works is the applicability of 4.000.000 semantic representations, 350,000 signal stems, 376,000 chat senses or concepts, 17,000 ambiguous consultation definitions, 100,000 phrases, 7,000 nodes for the ontology or tree constitution of the taxonomy, and 50,000 thesaural thought groups. Cognition's clients using the software are if with tools to add their own specialized terminology. In the context of identical goodly interval expansions, Cognition testament further servicing them with a consulting supply to augment the CognitionSearch service.

The Original Search wealth will seem recognized to adept searchers with a quota of contact dealing with database services. The Virgin Search income offers five basic search approaches: manage English search, linguistic Boolean search, quoted search, base search, and fuzzy search.
Another contrivance is the timeline to complete results, coextensive in the short, mid, or long-term. No unrealistic expectations here. One plan I cherish to access this is to optimize by levels. For example, I will choose 3 levels of dilemma and take the according keywords.
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The Semantic Indexing Project (SEO)
Semantic indexing is our agname for a family of techniques for searching and organizing doozer information collections. The intent of semantic indexing is to acquisition patterns in unstructured news (documents without descriptors such as keywords or choice tags) and cause those patterns to suggestion another forcible search and categorization services.

During the elapsed five years, a band of linguists and machine scientists at NITLE and Middlebury Academy has developed a prototype Semantic Engine. This prototype was designed to superscription the typical complication of accessing and organizing capacious amounts of unstructured digital text. Using mathematical algorithms to index the potential semantic content of documents, the prototype engine has been demonstrated to drastically reduce, provided not eliminate, the demand for expensive and time-consuming metadata tagging, and to assemble results superior to keyword searches in regional appraisal domains.

The Semantic Engine is at the centre of our trial and course mission. It is designed to enable scholars and educators to concert the already overwhelming and ever-increasing book of facts that we encounter in every world of inquiry. We are developing a establish of tools that will enable researchers to quickly search enormous datasets that may be distributed across multiple databases, to interact with the engine to rarefy the search, and to contribute their dogma to the collection. We and are creating a allot of visualization and archiving tools for the researcher to use, to simplify the arranging and dissemination of the search results.
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