18054984. KEYPHRASE GENERATION LEVERAGING PUBLIC REPOSITORY CATEGORIES simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
- 1 KEYPHRASE GENERATION LEVERAGING PUBLIC REPOSITORY CATEGORIES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 KEYPHRASE GENERATION LEVERAGING PUBLIC REPOSITORY CATEGORIES - 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 the system handle files with multiple keyphrases assigned to them?
- 1.11 What is the computational overhead of generating keyphrases for large volumes of files?
- 1.12 Original Abstract Submitted
KEYPHRASE GENERATION LEVERAGING PUBLIC REPOSITORY CATEGORIES
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Gaetano Rossiello of Brooklyn NY (US)
Md Faisal Mahbub Chowdhury of Woodside NY (US)
Alfio Massimiliano Gliozzo of Brooklyn NY (US)
Nandana Mihindukulasooriya of Cambridge MA (US)
Michael Robert Glass of Bayonne NJ (US)
KEYPHRASE GENERATION LEVERAGING PUBLIC REPOSITORY CATEGORIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18054984 titled 'KEYPHRASE GENERATION LEVERAGING PUBLIC REPOSITORY CATEGORIES
Simplified Explanation
The abstract describes a patent application related to a process for generating file classifications for file system organization and query augmentation. The system includes a memory storing executable components and a processor executing these components. A generating component creates keyphrases based on file context, using a repository of annotated files, while an execution component classifies files based on these keyphrases.
- Explanation of the patent/innovation:
- Memory stores executable components
- Processor executes components
- Generating component creates keyphrases based on file context
- Uses repository of annotated files for keyphrase generation
- Execution component classifies files based on keyphrases
Potential Applications
The technology can be applied in: - File organization systems - Search engines - Information retrieval systems
Problems Solved
This technology addresses: - Efficient file organization - Improved search query results - Enhanced information retrieval
Benefits
The benefits of this technology include: - Streamlined file management - More accurate search results - Enhanced data organization
Potential Commercial Applications
This technology can be utilized in: - Document management software - Data analytics platforms - Cloud storage services
Possible Prior Art
One potential prior art could be the use of keyword-based file organization systems in information retrieval software.
Unanswered Questions
How does the system handle files with multiple keyphrases assigned to them?
The abstract does not specify how the system deals with files that may have multiple keyphrases associated with them. It would be important to understand how the classification process is affected in such cases.
What is the computational overhead of generating keyphrases for large volumes of files?
The abstract does not mention the computational resources required for generating keyphrases for a significant number of files. Understanding the scalability and performance implications of this process would be crucial for practical implementation.
Original Abstract Submitted
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process for generating the classification of files to allow for file system organization and/or query augmentation. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a generating component that generates a keyphrase based on a context derived from evaluation of an input file, wherein the generating component employs a public repository of files annotated with a plurality of keyphrases, including the keyphrase, to generate the keyphrase based on the context, and an execution component that classifies the input file based on the keyphrase. In one or more embodiments, the input file can comprise a query, and classification of the input file can comprise augmenting the query based on the keyphrase.