Microsoft technology licensing, llc (20240126521). SYSTEM AND METHOD FOR SEMANTIC AWARE DATA SCIENCE simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR SEMANTIC AWARE DATA SCIENCE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR SEMANTIC AWARE DATA SCIENCE - 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
SYSTEM AND METHOD FOR SEMANTIC AWARE DATA SCIENCE
Organization Name
microsoft technology licensing, llc
Inventor(s)
Avrilia Floratou of Sunnyvale CA (US)
Andreas Christian Mueller of Los Gatos CA (US)
Dalitso Hansini Banda of Mountain View CA (US)
Joyce Yu Cahoon of Woodinville WA (US)
Anja Gruenheid of Seattle WA (US)
SYSTEM AND METHOD FOR SEMANTIC AWARE DATA SCIENCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126521 titled 'SYSTEM AND METHOD FOR SEMANTIC AWARE DATA SCIENCE
Simplified Explanation
The abstract describes a system that allows a user to import a library into a computer program under development, which includes a data storage interface, semantic objects, and data manipulation or analysis operations. The user can reference code from the library to generate a dataset and associate semantic objects with it to create a semantically-annotated dataset. The system enables the user to perform operations on the annotated dataset or suggests operations based on it.
- The system allows users to import libraries with data storage interfaces, semantic objects, and data manipulation/analysis operations into their computer programs.
- Users can generate datasets and annotate them with semantic objects using the imported library.
- The system enables users to perform operations on the annotated datasets or suggests operations based on the annotations.
Potential Applications
This technology could be applied in various fields such as data analysis, machine learning, and artificial intelligence.
Problems Solved
This technology helps users efficiently manage and analyze large datasets by providing tools for data manipulation and analysis.
Benefits
The system streamlines the process of importing libraries and working with datasets, making it easier for users to develop computer programs.
Potential Commercial Applications
"Enhancing Data Analysis and Management with Semantically-Annotated Datasets"
Possible Prior Art
There may be existing systems or methods that allow users to import libraries and work with datasets, but the specific features described in this abstract may be novel.
Unanswered Questions
How does the system handle errors or inconsistencies in the imported library?
The abstract does not mention how the system deals with potential issues that may arise when importing libraries or working with datasets.
Can users customize the semantic objects or data manipulation operations in the library?
It is unclear from the abstract whether users have the flexibility to modify or add to the existing semantic objects and operations in the imported library.
Original Abstract Submitted
systems, methods, and devices are described for enabling a user to import a library into a computer program under development. the library includes a data storage interface, one or more semantic objects, and one or more data manipulation or data analysis operations. a user is able to reference code of the library within the computer program under development to generate a dataset from data obtained via the data storage interface and associate the one or more semantic objects with the dataset to generate a semantically-annotated dataset. systems, methods, and devices enable, based on the importing: the user to invoke a semantic-guided operation of the library that utilizes the semantically-annotated dataset to infer an aspect of a data manipulation or data analysis operation to be performed on the semantically-annotated dataset; or the suggestion of a data manipulation or data analysis operation to the user based on the semantically-annotated dataset.
