View source for 18487361. ANSWER FACTS FROM STRUCTURED CONTENT simplified abstract (GOOGLE LLC)

=ANSWER FACTS FROM STRUCTURED CONTENT=


==Organization Name==

[[:Category:GOOGLE LLC|GOOGLE LLC]]


[[Category:GOOGLE LLC]]

==Inventor(s)==

[[:Category:Jayant Madhavan of San Francisco CA (US)|Jayant Madhavan of San Francisco CA (US)]][[Category:Jayant Madhavan of San Francisco CA (US)]]

[[:Category:Hongrae Lee of Santa Clara CA (US)|Hongrae Lee of Santa Clara CA (US)]][[Category:Hongrae Lee of Santa Clara CA (US)]]

[[:Category:Sreeram Viswanath Balakrishnan of Los Altos CA (US)|Sreeram Viswanath Balakrishnan of Los Altos CA (US)]][[Category:Sreeram Viswanath Balakrishnan of Los Altos CA (US)]]

[[:Category:Warren H.Y. Shen of Sunnyvale CA (US)|Warren H.Y. Shen of Sunnyvale CA (US)]][[Category:Warren H.Y. Shen of Sunnyvale CA (US)]]

==ANSWER FACTS FROM STRUCTURED CONTENT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18487361 titled 'ANSWER FACTS FROM STRUCTURED CONTENT

==Simplified Explanation==

The patent application describes a method for providing structured fact sets in response to question queries by identifying resources, selecting structured content sets, and generating structured fact sets based on matching attributes.

* Receiving a question query seeking an answer response and identifying responsive resources
* Identifying structured content sets in a top-ranked subset of the resources
* Determining query matches with structured content sets based on related attributes
* Selecting a matching structured content set
* Generating a structured fact set from the matched attributes
* Providing the structured fact set with search results

== Potential Applications ==
This technology could be applied in search engines, question-answering systems, and information retrieval systems to provide more accurate and relevant answers to user queries.

== Problems Solved ==
This technology helps in improving the accuracy and relevance of search results by extracting structured facts from related attributes in content sets, leading to better user satisfaction and information retrieval.

== Benefits ==
The benefits of this technology include enhanced search result accuracy, improved user experience, and more efficient information retrieval based on structured data extraction.

== Potential Commercial Applications ==
Potential commercial applications of this technology include search engine optimization tools, question-answering platforms, and information retrieval services for businesses and organizations.

== Possible Prior Art ==
One possible prior art for this technology could be the use of natural language processing algorithms to extract structured data from unstructured content for search and information retrieval purposes.

=== Unanswered Questions ===

=== How does this technology handle privacy concerns related to extracting structured facts from content sets? ===
The patent application does not provide information on how privacy concerns are addressed when extracting structured facts from content sets. This could be a potential area of concern for users and businesses utilizing this technology.

=== What measures are in place to ensure the accuracy and reliability of the structured fact sets generated by this technology? ===
The patent application does not detail specific measures to ensure the accuracy and reliability of the structured fact sets generated. It would be important to understand the validation process and quality control mechanisms in place to maintain the integrity of the information provided to users.


==Original Abstract Submitted==

In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; identifying structured content set in a top-ranked subset of the resources, each structured content set being content arranged according to related attributes in one of the resources; for each identified structured content set, determining whether the query matches the structured content set based on terms of the query matching related attributes of the structured content set; selecting one of the structured content sets for which the query is determined to match; generating, from the selected structured content set, a structured fact set from the related attributes that matched the terms of the query; and providing the structured fact set with search results that identify the resources determined to be responsive to the query.



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