Abstract: Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Abstract: Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Abstract: Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Abstract: Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Abstract: Embodiments of the present invention provide a method, computer program product, and system for debugging optimized code. The system includes a FAT binary, wherein the FAT binary comprises a non-optimized native code and an internal representation of a program's source code. An optimus program is configured to transform the internal representation of the program's source code into a fully optimized native code. The system also includes an enhanced loader, wherein the enhanced loader is configured to communicate with a debugger to determine a type of code to load.

Abstract: Techniques are described for generating geographic borders. In one example, techniques include recognizing a geographic location, determining a starting latitude and a starting longitude and population for the geographic location, and generating a border for the geographic location based on the starting latitude, starting longitude, and population.

Abstract: Embodiments of the present invention provide a method, computer program product, and system for debugging optimized code. The system includes a FAT binary, wherein the FAT binary comprises a non-optimized native code and an internal representation of a program's source code. An optimus program is configured to transform the internal representation of the program's source code into a fully optimized native code. The system also includes an enhanced loader, wherein the enhanced loader is configured to communicate with a debugger to determine a type of code to load.

Abstract: Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Abstract: Identifying and visualizing geographic data includes obtaining a set of data including candidate geographic data elements. Metrics are determined based on two or more of: a best parent for the candidate geographic data elements; additional concepts associated with the candidate geographic data elements; and an average distance between the candidate geographic data elements. Then, the candidate geographic data elements are identified as geographic based on the metrics and a map is generated displaying the candidate geographic data elements identified as geographic.

Abstract: Embodiments of the present invention provide a method, computer program product, and system for debugging optimized code. The system includes a FAT binary, wherein the FAT binary comprises a non-optimized native code and an internal representation of a program's source code. An optimus program is configured to transform the internal representation of the program's source code into a fully optimized native code. The system also includes an enhanced loader, wherein the enhanced loader is configured to communicate with a debugger to determine a type of code to load.

Abstract: Embodiments of the present invention provide a method, computer program product, and system for debugging optimized code. The system includes a FAT binary, wherein the FAT binary comprises a non-optimized native code and an internal representation of a program's source code. An optimus program is configured to transform the internal representation of the program's source code into a fully optimized native code. The system also includes an enhanced loader, wherein the enhanced loader is configured to communicate with a debugger to determine a type of code to load.

Abstract: Techniques are described for generating geographic borders. In one example, techniques include recognizing a geographic location, determining a starting latitude and a starting longitude and population for the geographic location, and generating a border for the geographic location based on the starting latitude, starting longitude, and population.

Abstract: A computer-implemented method and system for date disambiguation includes receiving a text using a computer. An event is identified and a date candidate is detected from the text. A date pattern is identified based on the date candidate. A data set is identified based on the event. A plurality of data columns, from the data set, is identified and scored by applying a statistical analysis based on normalizing variances, the score being related to a degree of variation of information. A data column is selected based on the score.

Abstract: A computer-implemented method and system for date disambiguation includes receiving a text using a computer. An event is identified and a date candidate is detected from the text. A date pattern is identified based on the date candidate. A data set is identified based on the event. A plurality of data columns, from the data set, is identified and scored by applying a statistical analysis based on normalizing variances, the score being related to a degree of variation of information. A data column is selected based on the score.