Abstract: A computer-implemented method for identifying device intersections using application data derived from multiple mobile devices. The method extracts the unique devices identified in a user defined area of interest (AOI) and generates individual geospatial layers for each device. The layers are derived from the metadata containing coordinates and associated timestamps for all available points of the device. Combining the individual layers will produce a convergence surface of polygonal intersections, indicating where devices have shared additional locations outside the initial AOI. Applying the timestamp to the resulting layer with a user defined time interval will generate a probability matrix of association.

Abstract: A computer-implemented method for identifying device intersections using application data derived from multiple mobile devices. The method extracts the unique devices identified in a user defined area of interest (AOI) and generates individual geospatial layers for each device. The layers are derived from the metadata containing coordinates and associated timestamps for all available points of the device. Combining the individual layers will produce a convergence surface of polygonal intersections, indicating where devices have shared additional locations outside the initial AOI. Applying the timestamp to the resulting layer with a user defined time interval will generate a probability matrix of association.

Abstract: A method for acquiring an author's geospatial location of origin from text based media through dialect detection. The method detects the dialect for a specified language using keywords, phrases, patterns, or gestures and identifies the geographical location for the author's origin or area of linguistic influence. The identified geospatial areas can include the overarching primary areas of use for the base language coupled with a smaller geographical area bounded according to, for example, state, country, region, or political, tribal, or societal influence, for the specified dialect, and produces a map to the user with a polygon depicting the probable area of origin or influence. In instances where more than one element of dialect detection is available (multiple keywords, phrases, patterns, gestures) the intersection of these individual polygons produce increasing areas of probability where the solution space can exist for the combination of identified dialect components.

Abstract: A method for conducting a cross lingual searching utilizing an ontology reference process to ensure thoroughness. When a query is entered, an ontology database is accessed to identify all representations for the parent entity of interest within specified languages. These representations are used to form a search set that results in more thorough collection from the data sources. Thus, the disclosed method accommodates situations where languages do not follow the same construct (e.g. English compared to Chinese) and where direct translation does not adequately represent the intent of the user's inquiry.

Abstract: A method for acquiring an author's geospatial location of origin from text based media through dialect detection. The method detects the dialect for a specified language using keywords, phrases, patterns, or gestures and identifies the geographical location for the author's origin or area of linguistic influence. The identified geospatial areas can include the overarching primary areas of use for the base language coupled with a smaller geographical area bounded according to, for example, state, country, region, or political, tribal, or societal influence, for the specified dialect, and produces a map to the user with a polygon depicting the probable area of origin or influence. In instances where more than one element of dialect detection is available (multiple keywords, phrases, patterns, gestures) the intersection of these individual polygons produce increasing areas of probability where the solution space can exist for the combination of identified dialect components.