Oracle international corporation (20240126800). GENERATING TAGGED CONTENT FROM A LIST IN AN ELECTRONIC DOCUMENT simplified abstract
Contents
- 1 GENERATING TAGGED CONTENT FROM A LIST IN AN ELECTRONIC DOCUMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 GENERATING TAGGED CONTENT FROM A LIST IN AN ELECTRONIC DOCUMENT - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 How does this technology handle nested lists in the source document?
- 1.11 What file formats are supported for the source and destination content in the conversion process?
- 1.12 Original Abstract Submitted
GENERATING TAGGED CONTENT FROM A LIST IN AN ELECTRONIC DOCUMENT
Organization Name
oracle international corporation
Inventor(s)
Vishank Bhatia of Sunnyvale CA (US)
Xu Zhong of Vermont South (AU)
Thanh Long Duong of Point Cook (AU)
Mark Johnson of Castle Cove (AU)
Srinivasa Phani Kumar Gadde of Fremont CA (US)
Vishal Vishnoi of Redwood City CA (US)
GENERATING TAGGED CONTENT FROM A LIST IN AN ELECTRONIC DOCUMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126800 titled 'GENERATING TAGGED CONTENT FROM A LIST IN AN ELECTRONIC DOCUMENT
Simplified Explanation
The patent application describes techniques for maintaining list-type text formatting when converting content from one format to another. Here is a simplified explanation of the abstract:
- A system generates text content by applying text formatting tags to segments of characters from a source electronic document.
- The system identifies text arranged in a list-type format in the source document and applies tags to designate these segments as items in a list.
- The text content is then generated in a destination format different from the source format.
Potential Applications
This technology could be applied in document conversion software, content management systems, and text editing tools.
Problems Solved
This technology solves the problem of preserving list formatting when converting content between different formats, ensuring the integrity and structure of the original content is maintained.
Benefits
The benefits of this technology include accurate conversion of list-type text content, improved efficiency in document processing, and enhanced user experience in working with formatted text.
Potential Commercial Applications
Commercial applications of this technology could include software development for document conversion services, content publishing platforms, and text editing applications.
Possible Prior Art
One possible prior art could be existing text formatting algorithms used in document conversion software or content management systems.
Unanswered Questions
How does this technology handle nested lists in the source document?
The patent abstract does not mention how the system deals with nested lists within the source document. It would be important to understand if the technology can accurately convert and maintain the structure of nested lists.
What file formats are supported for the source and destination content in the conversion process?
The abstract does not specify which file formats the system can work with. Knowing the supported file formats would be crucial for understanding the versatility and compatibility of the technology.
Original Abstract Submitted
techniques for maintaining list-type text formatting when converting content from a source content format to a destination content format are disclosed. a system generates text content by applying text formatting tags to segments of characters obtained from a source electronic document. the system parses a static-display type source electronic document to obtain character data of the characters in the source document. the system analyzes the parsed data to identify text arranged in a list-type text format in the source document. the system generates text content in a destination content format different from the source format by applying tags to segments of the text content designating the segments items in a list.