Browse Prior Art Database

Updating visual electronic maps with temporal updates based on social changes Disclosure Number: IPCOM000250169D
Publication Date: 2017-Jun-07
Document File: 3 page(s) / 95K

Publishing Venue

The Prior Art Database

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 41% of the total text.

Updating Visual Electronic Maps with Temporal Updates Based on Social Changes

Disclosed is a method to automatically detect temporal visual changes to a local environment for the purposes of updating visual electronic maps with these temporal changes. These changes are detected through cognitive analysis of geotagged social network posts and local news/weather reports.

Electronic maps come in many forms, including (but not limited to) satellite images providing a top down look of an area, street view providing a view from a road, and a three-dimensional (3D) flyover providing a 3D representation of an area from the sky. These maps are static, and the provided images can become out of date as conditions change. It is sometimes obvious to know when a visual electronic map needs updating (e.g., when a new highway opens or when a natural disaster alters the landscape). An electronic mapping system is needed that can focus on smaller temporal updates to local maps based on social changes such as a street festival changing the look of an avenue, construction work blocking a street, or a local stream flooding a roadway. Further, a system that identifies these temporary changes can then sent a request to update the satellite, street view, and flyover maps to reflects these changes. The novel contribution is a system for updating visual electronic maps with temporal updates based on social changes.This system does not require a user to manually report a mapping error or update, but instead uses information already available across local news and social networks to derive when a visual map needs to be updated. The core novel feature is a cognitive system that:

 Utilizes social network textual postings, geo-tagged images/videos shared on social networks, and local news/weather reports to derive temporal visual changes to an area

 Derives the extent of the temporal visual changes, the co-ordinates where the changes have occurred, the priority to update electronic maps of these changes, and a confidence level that the derived changes are accurate

 A cognitive system that derives when a temporal event has ended, for the purposes of reverting the mapping data back to the prior visualization.

The novel system and method use a cognitive system to analyze social network postings (e.g., text, images, videos, etc.) for geographic related comments that indicate that an area has visually changed, as well as visual indications of changing conditions. The system analyzes local news and weather reports to derive when a local area may have visually changed. A cognitive system isolates specific areas on a map that are of a high likelihood of having visually changed since the map was last updated, and are therefore candidates for that portion of the map to be updated. The system performs continual monitoring to derive when a temporal change has expired.

Figure 1: The main components of the system

The three stages of the implementation process follow. Stage 1: Cognit...