Abstract: Systems and methods for dynamic computer aided innovation via multidimensional complementary difference recommendation and exploration are disclosed including categorizing a first and second data element in a database with a first attribute and second attribute, respectively, of a first dimension, a dimension being an aspect of a situation, problem, or thing. The first and second data elements are categorized with a first attribute and a second attribute of a second dimension, the second dimension being different from the first dimension. Analyzing the first and second attribute of the first dimension and the first and second attribute of the second dimension to determine a ratio of similarity and dissimilarity; calculating a composite score of the ratio of the first dimension and the ratio of the second dimension; and generating and storing a link between the first and second data element when the composite score is within numerical limits.

Abstract: A computer-implemented schema-independent method of modeling data from diverse sources is described. A server transmits to a client computer a blueprint for visualizing and interacting with data, wherein the blueprint defines an application, for visualizing and interacting with data. The application may operate on the client computer within a web browser and may include program code or scripts that operate within the web browser and transmit data and commands to and from the server. In response to receiving a data fetch message from the application, the server receives data from a selected one of a plurality of domains. The server then transforms the received data into a semantic data format. The transformed data is then stored by the server as a first data set. The first data set can then be transmitted to the client computer for further processing and visualization by the application using the blueprint.

Abstract: Systems and methods for dynamic computer aided innovation via multidimensional complementary difference recommendation and exploration are disclosed including categorizing a first and second data element in a database with a first attribute and second attribute, respectively, of a first dimension, a dimension being an aspect of a situation, problem, or thing. The first and second data elements are categorized with a first attribute and a second attribute of a second dimension, the second dimension being different from the first dimension. Analyzing the first and second attribute of the first dimension and the first and second attribute of the second dimension to determine a ratio of similarity and dissimilarity; calculating a composite score of the ratio of the first dimension and the ratio of the second dimension; and generating and storing a link between the first and second data element when the composite score is within numerical limits.

Abstract: A computer-implemented schema-independent method of modeling data from diverse sources is described. A server transmits to a client computer a blueprint for visualizing and interacting with data, wherein the blueprint defines an application, for visualizing and interacting with data. The application may operate on the client computer within a web browser and may include program code or scripts that operate within the web browser and transmit data and commands to and from the server. In response to receiving a data fetch message from the application, the server receives data from a selected one of a plurality of domains. The server then transforms the received data into a semantic data format. The transformed data is then stored by the server as a first data set. The first data set can then be transmitted to the client computer for further processing and visualization by the application using the blueprint.

Abstract: A computer-implemented schema-independent method of modeling data from diverse sources is described. A server transmits a blueprint to a client computer that is in communication with the server. The blueprint defines an application that runs on the client computer and is designed for visualizing and interacting with data from at least a first data source and a second data source. Responsive to a data fetch message from the application running on the client computer: receiving, by the server, data from the first data source; receiving by the server, data from the second data source; transforming, by the server, the received data from the first data source and the second data source into a semantic data format; and storing, by the server, the transformed data as a first data set.

Abstract: A computer-implemented schema-independent method of modeling data from a plurality of diverse sources. A server transmits to a client a blueprint for visualizing and interacting with data, wherein the blueprint defines an application, for visualizing and interacting with data that runs on the client. The application may operate on the client within a web browser and may include program code or scripts that operate within the web browser and transmit data and commands to and from the server. In response to receiving a data fetch message from the application running on a client computer, the server receives data from a selected one of a plurality of domains. The server then transforms the received data into a semantic data format. The transformed data is then stored by the server as a first data set. The first data set can then be transmitted to the client computer for further processing and visualization by the application on the client using the blueprint.

Abstract: A computer-implemented schema-independent method of modeling data from a plurality of diverse sources. A server transmits to a client a blueprint for visualizing and interacting with data, wherein the blueprint defines an application, for visualizing and interacting with data that runs on the client. The application may operate on the client within a web browser and may include program code or scripts that operate within the web browser and transmit data and commands to and from the server. In response to receiving a data fetch message from the application running on a client computer, the server receives data from a selected one of a plurality of domains. The server then transforms the received data into a semantic data format. The transformed data is then stored by the server as a first data set. The first data set can then be transmitted to the client computer for further processing and visualization by the application on the client using the blueprint.