/Patent Tracker
GooglePatent applicationAI & softwareInterest 4/10

Google patents system to auto-tag location details from web data

Google describes a system that uses machine learning to analyze web pages and search queries to identify specific types of places. The technology extracts details about these locations, checks them for accuracy, and organizes them into structured data.

Why it mattersThis could improve how search engines understand and display specific information about places, such as businesses or landmarks, making search results more detailed and accurate.

In the filing’s own words

Methods, systems, devices, and non-transitory computer readable media for determining schemas and generating attributes are provided. The disclosed technology can include receiving schema data comprising web content and queries. Based on inputting the schema data into machine-learned models, schemas associated with the schema data can be determined. The machine-learned models can be configured to determine the schemas based on recognition of semantic features of the schema data. Based on the schemas, content data comprising content can be retrieved. Based on inputting the content data and the schemas into the machine-learned models, attributes associated with content verticals of the content data can be determined. Based on inputting the attributes associated with the content data into the machine-learned models, evaluated attributes comprising the attributes that satisfy evaluation criteria associated with a validity of the attributes can be determined. Furthermore, attribute data based on the evaluated attributes can be generated.

What exactly they claim (claim 1)

1. A computer-implemented method of processing content, the computer-implemented method comprising: receiving, by a computing system comprising one or more processors, schema data comprising web content and a plurality of queries; determining, by the computing system, based on inputting the schema data into one or more machine-learned models, a plurality of schemas comprising one or more attributes of geographic locations associated with the schema data, wherein the one or more machine-learned models are configured to determine the plurality of schemas based on recognition of one or more semantic features of the schema data; retrieving, by the computing system, based on inputting the plurality of schemas into the one or more machine-learned models, content data comprising content from one or more content sources; determining, by the computing system, based on inputting the content data and the plurality of schemas into the one or more machine-learned models, the one or more attributes associated with a plurality of content verticals of the content data; determining, by the computing system, based on inputting the one or more attributes associated with the content data into the one or more machine-learned models, one or more evaluated attributes comprising the one or more attributes that satisfy one or more evaluation criteria associated with a validity of the one or more attributes; and generating, by the computing system, attribute data based on the one or more evaluated attributes.

Facts

Company
Google (Google LLC)
Official title
Automatic Generation of Schemas and Attributes for Geographic Locations
Publication number
US20260267829A1
Application number
19073839
Filed
Mar 7, 2025
Published
Sep 10, 2026
Inventors
5
Claims
20

Classified under

G06F 16/211 Physics & computingG06F 16/24578 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

More from Google in AI & software

Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.