Abstract: Method and system for visualizing documents. N-dimensional compact representations are obtained for a set of documents. A plurality of documents are then retrieved with the corresponding N-dimensional compact representations. Each of the retrieved documents is associated with at least one concept. Each of the retrieved documents is projected to a point on a K-dimensional map based on its N-dimensional compact representation so that projected document points in the K-dimensional map maintain the relative distances among the retrieved documents in the N-dimensional space. Regions in the K-dimensional map associated with a concept are identified. A label is generated for each concept in each identified region. Then generated labels are rendered on the K-dimensional map in a corresponding region identified.

Abstract: Method and system for visualizing documents. N-dimensional compact representations are obtained for a set of documents. A plurality of documents are then retrieved with the corresponding N-dimensional compact representations. Each of the retrieved documents is associated with at least one concept. Each of the retrieved documents is projected to a point on a K-dimensional map based on its N-dimensional compact representation so that projected document points in the K-dimensional map maintain the relative distances among the retrieved documents in the N-dimensional space. Regions in the K-dimensional map associated with a concept are identified. A label is generated for each concept in each identified region. Then generated labels are rendered on the K-dimensional map in a corresponding region identified.

Abstract: Method and system for visualizing documents. N-dimensional compact representations are obtained for a set of documents. A plurality of documents is retrieved with corresponding N-dimensional compact representations and each of the retrieved documents is associated with one or more concepts. Each retrieved document is projected to a point on a K-dimensional map based on its N-dimensional compact representation so that projected document points in the K-dimensional map maintain the relative distances among the retrieved documents in the N-dimensional space. Regions in the K-dimensional map associated with concepts are identified. A label is generated for each concept in each identified region. Then generated labels are then rendered on the K-dimensional map in a corresponding region identified.

Abstract: Method and system for visualizing documents. N-dimensional compact representations are obtained for a set of documents. A plurality of documents is retrieved with corresponding N-dimensional compact representations and each of the retrieved documents is associated with one or more concepts. Each retrieved document is projected to a point on a K-dimensional map based on its N-dimensional compact representation so that projected document points in the K-dimensional map maintain the relative distances among the retrieved documents in the N-dimensional space. Regions in the K-dimensional map associated with concepts are identified. A label is generated for each concept in each identified region. Then generated labels are then rendered on the K-dimensional map in a corresponding region identified.

Abstract: Method, system, and programs for information search and retrieval. A query is received and is processed to generate a feature-based vector that characterizes the query. A unified representation is then created based on the feature-based vector, that integrates semantic and feature based characterizations of the query. Information relevant to the query is then retrieved from an information archive based on the unified representation of the query. A query response is generated based on the retrieved information relevant to the query and is then transmitted to respond to the query.

Abstract: Method, system, and programs for an information model to be used in representing data. The information model includes a plurality of features, one or more information allocation models, and a configuration that associates an information allocation model with each of the features, where an information allocation model is to be used to allocate a portion of information contained in the data to each of the features and the total amount of information allocated to the features equals a total amount of information contained in the data.

Abstract: Method, system, and programs for an information model to be used in representing data. The information model includes a plurality of features, one or more information allocation models, and a configuration that associates an information allocation model with each of the features, where an information allocation model is to be used to allocate a portion of information contained in the data to each of the features and the total amount of information allocated to the features equals a total amount of information contained in the data.

Abstract: Method, system, and programs for information search and retrieval. A query is received and is processed to generate a feature-based vector that characterizes the query. A unified representation is then created based on the feature-based vector, that integrates semantic and feature based characterizations of the query. Information relevant to the query is then retrieved from an information archive based on the unified representation of the query. A query response is generated based on the retrieved information relevant to the query and is then transmitted to respond to the query.