Securboration, Inc.

Convera Corporation

Joshua Powers

Joel Wayne Robertson

Jon Michael Van Winkle

Paul Gardner, Jr

Claude Vogel

Eric Germundson

Systems, methods, and apparatus for clustering resources using rare features are provided. For example, an environment includes an extraction module, an index module, and a cluster module. The extractions module identifies a set of resources and extracts a plurality of features from the resources. The plurality of features may be rare features. The index module identifies and generates a rare features index. The cluster module identifies at least two resources that share rare features, creates one or more clusters based on the identified at least two resources, and associates resources that share similar features with the one or more clusters. Resources that do not share similar features are not associated with the one or more clusters. Identifying at least two resources that share rare features is based at least upon a threshold.

Stochastic document clustering using rare features

A search system and method are provided that uses taxonomies, entities, facets, and ontologies to provide a user with a more comprehensive set of search results in response to a query. The search system has an indexing engine that performs one or more indexing steps that permit the search engine to return a comprehensive set of search results. For example, the indexing engine may index a document according to a set of synsets so that the search engine may use the synsets, during retrieval of results to a query, to return a more comprehensive set of search results.

Search system and method

Growing community of inventors

Reston, VA, United States of America

Joshua Powers