International business machines corporation (20240104400). DERIVING AUGMENTED KNOWLEDGE simplified abstract
Contents
- 1 DERIVING AUGMENTED KNOWLEDGE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DERIVING AUGMENTED KNOWLEDGE - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
DERIVING AUGMENTED KNOWLEDGE
Organization Name
international business machines corporation
Inventor(s)
Ruchi Mahindru of Elmsford NY (US)
Ashish Ghodasara of Cary NC (US)
DERIVING AUGMENTED KNOWLEDGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104400 titled 'DERIVING AUGMENTED KNOWLEDGE
Simplified Explanation
The abstract of the patent application describes a method for deriving augmented knowledge by extracting entities from various data sources, augmenting these entities, and using them to enhance user activities.
- Extract entities from multiple data sources
- Augment the extracted entities
- Utilize augmented entities to improve user activities
Potential Applications
The technology could be applied in various fields such as data analysis, information retrieval, and personalized recommendations.
Problems Solved
1. Integrating information from diverse sources 2. Enhancing user experiences through personalized content
Benefits
1. Improved data accuracy and relevance 2. Enhanced user engagement and satisfaction
Potential Commercial Applications
Optimizing search engines for better results
Possible Prior Art
One possible prior art could be the use of machine learning algorithms to extract and analyze data from multiple sources.
Unanswered Questions
How does the technology handle privacy concerns when extracting entities from data sources?
The article does not address the specific methods or protocols in place to ensure user privacy during the entity extraction process.
What are the potential limitations of the technology in terms of scalability and efficiency?
The article does not discuss the scalability of the technology when dealing with a large volume of data sources or the efficiency of the entity extraction and augmentation process.
Original Abstract Submitted
deriving augmented knowledge defining a knowledge base by extracting entities from a plurality of heterogeneous data sources; and augmenting the extracted entities; and utilizing an augmented entity to enhance a user activity.
