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.
Type:
Grant
Filed:
April 26, 2021
Date of Patent:
March 7, 2023
Assignee:
Babel Street, Inc.
Inventors:
Jeffrey Chapman, Shon Myatt, James B. Haynie
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.
Type:
Application
Filed:
April 26, 2021
Publication date:
October 28, 2021
Applicant:
Babel Street, Inc.
Inventors:
Jeffrey Chapman, Shon Myatt, James B. Haynie
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.
Type:
Grant
Filed:
June 2, 2017
Date of Patent:
September 4, 2018
Assignee:
Babel Street, Inc.
Inventors:
Jeffrey Chapman, Shon Myatt, James B. Haynie
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.
Type:
Application
Filed:
June 13, 2017
Publication date:
December 14, 2017
Applicant:
Babel Street, Inc.
Inventors:
Jeffrey Chapman, Shon Myatt, James B. Haynie
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.
Type:
Application
Filed:
June 2, 2017
Publication date:
December 7, 2017
Applicant:
Babel Street, Inc.
Inventors:
Jeffrey Chapman, Shon Myatt, James B. Haynie