System, method, and recording medium for geolocation data discovery in streaming texts

• US 10,733,541 B2
• Filed: 08/22/2019
• Issued: 08/04/2020
• Est. Priority Date: 06/22/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Crawford, Catherine Helen, Gunnels, John Andrew, Swirszcz, Grzegorz Michal
• Primary Examiner(s): Alam, Mirza F
• Application Number:
  US16/547,954
• Publication Number:
  US 20190378045A1
• Time in Patent Office: 348 Days
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 40/47 Machine-assisted translation, e.g. using translation memory
• CPC Class Codes: G06F 40/58 Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/12 Messaging; Mailboxes; Announcements
• CPC Class Codes: H04W 4/90 Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]

Abstract

A geolocation data discovery method, system, and non-transitory computer readable medium, include mining a textual alert message of an event from secure source data for a geolocational indicator, a temporal indicator, and a type of alert, embedding a geolocational tag location and a temporal tag time to the event based on the geolocational indicator and the temporal indicator mined from the textual alert message by the secure text mining, mapping the event with an icon related to the type of alert at the geolocational tag location on a navigational map at a time associated with the temporal tag time of the event, learning a false-positive event by comparing a secure sensor with an unsecure sensor as the secure source data, and removing updates to the icon on the map based on the learned false-positive event.

Claims

1. A geolocation data discovery system, comprising:

a processor; and

a memory, the memory storing instructions to cause the processor to perform;

mining a textual alert message of an event from secure source data for a geolocational indicator, a temporal indicator, and a type of alert, a source of the secure source data being selectively chosen;

embedding a geolocational tag location and a temporal tag time to the event based on the geolocational indicator and the temporal indicator mined from the textual alert message by the secure text mining;

mapping the event with an icon related to the type of alert at the geolocational tag location on a navigational map at a time associated with the temporal tag time of the event;

learning a false-positive event by analyzing an input to a secure sensor with a feedback provided from an unsecure source using an application that receives the icon; and

removing updates to the icon on the map based on the learned false-positive event,

wherein the feedback includes an error code from a verified user indicating that the mapping excluded a particular event, and

wherein the error code is learnt to adapt a natural language processing algorithm to avoid causing the error code for a future textual alert message.

2. A geolocation data discovery method, comprising:

mining a textual alert message of an event from secure source data for a geolocational indicator, a temporal indicator, and a type of alert, a source of the secure source data being selectively chosen;

embedding a geolocational tag location and a temporal tag time to the event based on the geolocational indicator and the temporal indicator mined from the textual alert message by the secure text mining;

mapping the event with an icon related to the type of alert at the geolocational tag location on a navigational map at a time associated with the temporal tag time of the event;

learning a false-positive event by analyzing an input to a secure sensor with a feedback provided from an unsecure source using an application that receives the icon; and

removing updates to the icon on the map based on the learned false-positive event,

wherein the feedback includes an error code from a verified user indicating that the mapping excluded a particular event, and

wherein the error code is learnt to adapt a natural language processing algorithm to avoid causing the error code for a future textual alert message.

4. The method of claim 2, wherein the feedback is provided by the user via the application at a time difference than the textual alert message.

5. The method of claim 2, wherein the secure source of data comprises a social media stream of a trusted entity, the trusted entity comprising a government entity.

6. The system of claim 2, wherein the mapping maps the event at the time associated with the temporal tag time of the event based on a user being at the geolocational tag location of the event at the time.

7. The method of claim 2, wherein the feedback data comprises at least one of:

an image from a verified source;

an e-mail from a government e-mail address; and

traffic camera data.

8. The method of claim 2, further comprising causing the mapping to update the status of the event by indicating whether the event is ongoing or is complete.

3. A non-transitory computer-readable recording medium recording a geolocation data discovery program, the program causing a computer to perform:

mining a textual alert message of an event from secure source data for a geolocational indicator, a temporal indicator, and a type of alert, a source of the secure source data being selectively chosen;

embedding a geolocational tag location and a temporal tag time to the event based on the geolocational indicator and the temporal indicator mined from the textual alert message by the secure text mining;

mapping the event with an icon related to the type of alert at the geolocational tag location on a navigational map at a time associated with the temporal tag time of the event;

learning a false-positive event by analyzing an input to a secure sensor with a feedback provided from an unsecure source using an application that receives the icon; and

removing updates to the icon on the map based on the learned false-positive event,

wherein the feedback includes an error code from a verified user indicating that the mapping excluded a particular event, and

wherein the error code is learnt to adapt a natural language processing algorithm to avoid causing the error code for a future textual alert message.