18048064. WIREFRAME GENERATION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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WIREFRAME GENERATION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Zhaoqi Wu of Shanghai (CN)

Yi Fang Chen of DaLian (CN)

Zhi Wang of Shanghai (CN)

Yi Qun Zhang of Shanghai (CN)

Yan Du of Beijing (CN)

Li Na Yuan of BEIJING (CN)

WIREFRAME GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18048064 titled 'WIREFRAME GENERATION

Simplified Explanation

The abstract describes a method for generating a wireframe using artificial intelligence models. The first AI model performs named entity recognition on text information related to requirements for a wireframe to extract entities and their relations. The extracted entities and relations are then inputted into a second AI model to generate the wireframe, with the second model trained to minimize differences between the resultant relations of the entities in the generated wireframe and the extracted relations from the first model.

  • Named entity recognition performed on text information related to wireframe requirements
  • Entities and relations extracted from the text information
  • Inputting extracted entities and relations into a second AI model to generate the wireframe
  • Second AI model trained to minimize differences between resultant relations and extracted relations

Potential Applications

This technology could be applied in various industries such as web development, app design, and graphic design to automate the process of creating wireframes based on text requirements.

Problems Solved

This technology streamlines the wireframing process by automating the extraction of entities and relations from text information, reducing the manual effort required to create wireframes.

Benefits

The benefits of this technology include increased efficiency in wireframe generation, improved accuracy in capturing requirements, and potential cost savings by reducing the time and resources needed for manual wireframing.

Potential Commercial Applications

Potential commercial applications of this technology include software tools for wireframe generation, AI-powered design platforms, and services for automating the wireframing process for businesses.

Possible Prior Art

One possible prior art could be existing AI models for named entity recognition and wireframe generation, although the specific combination of these technologies as described in the abstract may be novel.

Unanswered Questions

How does this technology handle complex or ambiguous requirements for wireframes?

The article does not provide information on how the AI models deal with complex or ambiguous requirements that may arise during the wireframing process.

What is the computational cost associated with using this technology for wireframe generation?

The article does not address the computational resources required to implement the AI models for wireframe generation and whether there are any limitations in terms of scalability or efficiency.


Original Abstract Submitted

A method of this disclosure may include performing a named entity recognition on text information related to requirements for a wireframe by a first artificial intelligence (AI) model, so as to extract entities and relations of the entities from the text information. The method may further comprise inputting the extracted entities and relations to a second AI model to generate the wireframe, wherein the second AI model is trained so that a difference between resultant relations of the entities of the generated wireframe and the extracted relations of the entities from the first AI model is decreased.