Apparatus and methods for generating an instruction set for a user
US-2024419673-A1 · Dec 19, 2024 · US
Method and apparatus for automatically structuring free form hetergeneous data
US8996587B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8996587-B2 |
| Application number | US-67539207-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 15, 2007 |
| Priority date | Feb 15, 2007 |
| Publication date | Mar 31, 2015 |
| Grant date | Mar 31, 2015 |
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Abstract
Official abstract text for this publication.
Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.
First claim
Opening claim text (preview).
What is claimed is: 1. A method, performed on a data processing system comprising a memory and a data processor coupled to the memory, of automatically structuring free form heterogeneous data, the method comprising the steps of: obtaining free form heterogeneous data; segmenting the free form heterogeneous data into one or more units, wherein the one or more units includes a sentence; automatically labeling the one or more units based on one or more machine learning technique…
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- G06Q30/02Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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- What does patent US8996587B2 cover?
- Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating…
- Who is the assignee on this patent?
- Kar Gautam, Mahindru Ruchi, Sailer Anca, and 2 more
- What technology area does this patent fall under?
- Primary CPC classification G06Q30/02. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Tue Mar 31 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).