Abstract: One embodiment of the present invention includes means determining a concept representation for a set of text documents based on partial order analysis and modifying this representation if it is determined to be unidentifiable. Furthermore, the embodiment includes means for labeling the representation, mapping documents to it to provide a corresponding document representation, generating a number of document signatures each of a different type, and performing several data processing applications each with a different one of the document signatures of differing types.

Abstract: One embodiment of the present invention includes means determining a concept representation for a set of text documents based on partial order analysis and modifying this representation if it is determined to be unidentifiable. Furthermore, the embodiment includes means for labeling the representation, mapping documents to it to provide a corresponding document representation, generating a number of document signatures each of a different type, and performing several data processing applications each with a different one of the document signatures of differing types.

Abstract: A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data.

Abstract: The method and apparatus of the present invention begin with the generally known features of visualizing a relationship between at least two entities, by: (a) geometrically mapping the at least two entities onto a surface; (b) providing a relationship record for each of the at least two entities; (c) generating a display of the at least two entities together with at least one connector between the at least two entities as the visualizing the relationship from the relationship record; (d) the connector having two ends connected to a pair of the at least two entities, the connector having an extension between the two ends, the extension passing out of the plane. The present invention provides the improvement of: for at least one pair of entities, the at least one pair having a plurality of relationships, the connector having a plurality of strands wherein each of the plurality of strands corresponds to each of the plurality of relationships.

Abstract: One embodiment of the present invention includes means determining a concept representation for a set of text documents based on partial order analysis and modifying this representation if it is determined to be unidentifiable. Furthermore, the embodiment includes means for labeling the representation, mapping documents to it to provide a corresponding document representation, generating a number of document signatures each of a different type, and performing several data processing applications each with a different one of the document signatures of differing types.

Abstract: Several approaches are provided for designing algorithms that allow for fast retrieval, classification, analysis or other processing of data, with minimal expert knowledge of the data being analyzed, and further, with minimal expert knowledge of the math and science involved in building classifications and performing other statistical data analysis. Further, methods of analyzing data are provided where the information being analyzed is not easily susceptible to quantitative description.

Abstract: Data visualization apparatuses, computer-readable mediums, computer data signals embodied in a transmission medium, data visualization methods, and digital computer data visualization methods are provided. According to one aspect of the present invention, a data visualization apparatus includes an image device configured to provide a visual image; and digital processing circuitry coupled with the image device and configured to access data including a plurality of themes, to generate a thematic illustration corresponding to the themes and having a plurality of outer contour lines which are spaced at varying distances relative to a reference line, and to control the image device to depict the thematic illustration.

Abstract: Multi-query data visualization processes, data visualization apparatus, computer-readable media and computer data signals embodied in a transmission medium are provided. According to one aspect of the present invention, a multi-query data visualization process includes inputting a plurality of query objects into a data processing device and identifying features within each of the plurality of query objects that allow comparison to a body of data stored in a database. The process further includes determining relative relationships between each of the plurality of query objects and the body of data and displaying points along a plurality of rays, wherein a position of each of the displayed points corresponds to the determined relative relationship between each respective one of the plurality of query objects and the body of data.