18185547. DATA IDENTIFICATION AND EXTRACTION FROM UNSTRUCTURED DOCUMENTS simplified abstract (Adobe Inc.)

DATA IDENTIFICATION AND EXTRACTION FROM UNSTRUCTURED DOCUMENTS

Organization Name

Adobe Inc.

Inventor(s)

Arpit Narechania of Atlanta GA (US)

Fan Du of Milpitas CA (US)

Atanu Sinha of Kodbisanahalli (IN)

Nedim Lipka of Campbell CA (US)

Alexa F. Siu of Sunnyvale CA (US)

Jane Elizabeth Hoffswell of Seattle WA (US)

Eunyee Koh of Sunnyvale CA (US)

Vasanthi Holtcamp of Fremont CA (US)

DATA IDENTIFICATION AND EXTRACTION FROM UNSTRUCTURED DOCUMENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18185547 titled 'DATA IDENTIFICATION AND EXTRACTION FROM UNSTRUCTURED DOCUMENTS

The abstract of this patent application describes a method, apparatus, non-transitory computer readable medium, and system for obtaining a document and an information element, identifying an anchor element within the document, extracting information based on the anchor element, and displaying the extracted information to a user.

• Obtaining a document and an information element
• Identifying an anchor element with an anchor type and relationship type
• Extracting information based on the anchor element, anchor type, and relationship type
• Displaying the extracted information to a user

Potential Applications: - Information extraction from documents - Content recommendation systems - Data mining and analysis tools

Problems Solved: - Efficient extraction of relevant information from documents - Improved user experience in accessing information

Benefits: - Enhanced information retrieval - Streamlined data processing - Increased productivity in information search tasks

Commercial Applications: Title: Enhanced Information Extraction Technology for Document Management Systems This technology can be utilized in document management systems, search engines, and content recommendation platforms to improve information retrieval and user experience.

Questions about the technology: 1. How does this technology improve information extraction efficiency? 2. What are the potential implications of this technology in data analysis and content recommendation systems?

Frequently Updated Research: Stay updated on advancements in natural language processing, information retrieval, and data mining techniques to enhance the capabilities of this technology.

Original Abstract Submitted

Aspects of the method, apparatus, non-transitory computer readable medium, and system include obtaining a document and an information element. The aspects further include identifying, from the document, an anchor element that has an anchor type and a relationship type, wherein the anchor type describes a structure of a set of anchor elements, and the relationship type describes a relationship between the anchor element and the information element. The aspects further include extracting information corresponding to the information element based on the anchor element, the anchor type, and the relationship type, and displaying the extracted information to a user.