Data classification

• US 9,690,843 B2
• Filed: 02/23/2016
• Issued: 06/27/2017
• Est. Priority Date: 10/12/2011
• Status: Active Grant

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: Kong, Baihan, He, Mei, Zhou, Jie
• Primary Examiner(s): Morrison, Jay
• Assistant Examiner(s): Hoang, Ken
• Application Number:
  US15/050,772
• Publication Number:
  US 20160171081A1
• Time in Patent Office: 490 Days
• Field of Search: 702 19, 702 20, 702182, 707E17044, 707999003, 707E17014, 707693, 707803, 7079991, 707999101, 707E17005, 707E17009, 707E1701, 707E17032, 707E17055, 707E17058, 707E17076, 707E17091, 707E17108, 707E17127, 707602, 707607, 707609, 707683, 707740, 707741, 707769, 707777, 707781, 707792, 707797, 707802, 707999005, 707999102, 707999104, 707999202, 707999203, 706 50, 706 52, 706 47, 706 14, 706 45, 706 46, 706 53
• CPC Class Codes: G06F 16/2246 Trees, e.g. B+trees
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/9027 Trees
• CPC Class Codes: G06F 16/904 Browsing; Visualisation therefor for navigating the web G06F16/954; browsing optimisation for the web G06F16/957

Abstract

The present disclosure provides a method and an apparatus for storing data classification structure. Based on an initial classification structure tree, a reorganized classification structure tree that stores data classifications structure differently from that of the initial classification structure is generated. As the reorganized classification structure tree is flexible, when maintaining data and searching data by using the search engine, the present techniques may quickly find the desired data, thereby reducing the heavy burden of the search engine under the conventional techniques to conduct data search and high pressure of conducting data maintenance and data search. Further, the present techniques may not only reduce the burden of the search engine, but also relieve the pressure for maintaining data and searching data.

Claims

1. A method comprising:

generating an initial classification structure tree that includes an initial root node and a plurality of initial child nodes;

generating a reorganized classification structure tree, wherein generating the reorganized classification structure tree comprises;

selecting one of the initial child nodes as a reorganized root node of the reorganized classification structure tree; and

selecting one or more of the initial child nodes as a set of reorganized child nodes of the reorganized classification structure tree, wherein the reorganized child nodes include at least one parent node of the initial child node selected as the reorganized root node;

displaying the initial root node and the reorganized root node;

receiving a selection of the reorganized root node;

generating at least one secondary reorganized classification structure tree based on the selection of the reorganized root node;

displaying a root node of the at least one secondary reorganized classification structure tree; and

providing level-by-level guidance to a user based on the reorganized classification structure tree and the secondary reorganized classification structure tree.

2. The method as recited in claim 1, wherein the providing the level-by-level guidance to the user based on the reorganized classification structure tree and the secondary reorganized classification structure tree comprises providing the level-by-level guidance to the user based on the reorganized classification structure tree and the secondary reorganized classification structure tree until desired data is selected by the user.

3. The method as recited in claim 1, wherein the initial classification structure tree is generated based on a standard classification structure tree when data is published.

4. The method as recited in claim 1, wherein:

the initial root node of the initial classification structure tree represents data source characteristics of the initial classification structure tree; and

at least one child node of the initial classification structure tree describes classification characteristics of a corresponding classification in the initial classification structure tree.

5. The method as recited in claim 1, wherein the reorganized root node represents data source characteristics of the reorganized classification structure tree.

6. The method as recited in claim 1, wherein the initial classification structure tree and the reorganized classification structure tree are a same type.

7. The method as recited in claim 1, wherein the initial classification structure tree and the reorganized classification structure tree are different types.

8. A system comprising:

one or more processors; and

one or more computer storage media having stored thereon computer-executable instructions that are executable by the one or more processors to perform acts comprising;

generating an initial classification structure tree that includes an initial root node and a plurality of initial child nodes;

generating a reorganized classification structure tree, wherein generating the reorganized classification structure tree comprises;

selecting one of the initial child nodes as a reorganized root node of the reorganized classification structure tree; and

selecting one or more of the initial child nodes as a set of reorganized child nodes of the reorganized classification structure tree, wherein the reorganized child nodes include at least one parent node of the initial child node selected as the reorganized root node;

displaying the initial root node and the reorganized root node;

receiving a selection of the reorganized root node;

generating at least one secondary reorganized classification structure tree based on the selection of the reorganized root node;

displaying a root node of the at least one secondary reorganized classification structure tree; and

providing a level-by-level guidance to a user based on the reorganized classification structure tree and the secondary reorganized classification structure tree.

9. The system as recited in claim 8, wherein the providing the level-by-level guidance to the user based on the reorganized classification structure tree and the secondary reorganized classification structure tree includes providing the level-by-level guidance to the user based on the reorganized classification structure tree and the secondary reorganized classification structure tree until desired data is selected by the user.

10. The system as recited in claim 8, wherein the initial classification structure tree is generated based on a standard classification structure tree when data is published.

11. The system as recited in claim 8, wherein:

the initial root node of the initial classification structure tree represents data source characteristics of the initial classification structure tree; and

at least one child node of the initial classification structure tree describes classification characteristics of a corresponding classification in the initial classification structure tree.

12. The system as recited in claim 8, wherein the reorganized root node represents data source characteristics of the reorganized classification structure tree.

13. The system as recited in claim 8, wherein the initial classification structure tree and the reorganized classification structure tree are a same type.

14. The system as recited in claim 8, wherein the initial classification structure tree and the reorganized classification structure tree are different types.

15. The system as recited in claim 8, wherein the system is a distributive system.

16. One or more computer storage media having stored thereon computer-executable instructions that are executable by the one or more processors to perform acts comprising:

generating an initial classification structure tree that includes an initial root node and a plurality of initial child nodes;

generating a reorganized classification structure tree, wherein generating the reorganized classification structure tree comprises;

selecting one of the initial child nodes as a reorganized root node of the reorganized classification structure tree; and

selecting one or more of the initial child nodes as a set of reorganized child nodes of the reorganized classification structure tree, wherein the reorganized child nodes include at least one parent node of the initial child node selected as the reorganized root node;

displaying the initial root node and the reorganized root node;

receiving a selection of the reorganized root node;

generating at least one secondary reorganized classification structure tree based on the selection of the reorganized root node;

displaying a root node of the at least one secondary reorganized classification structure tree; and

providing a level-by-level guidance to a user based on the reorganized classification structure tree and the secondary reorganized classification structure tree.

17. The one or more computer storage media as recited in claim 16, wherein the providing the level-by-level guidance to the user based on the reorganized classification structure tree and the secondary reorganized classification structure tree comprises providing the level-by-level guidance to the user based on the reorganized classification structure tree and the secondary reorganized classification structure tree until desired data is selected by the user.

18. The one or more computer storage media as recited in claim 16, wherein the initial classification structure tree is generated based on a standard classification structure tree when data is published.

19. The one or more computer storage media as recited in claim 16, wherein:

the initial root node of the initial classification structure tree represents data source characteristics of the initial classification structure tree; and

at least one child node of the initial classification structure tree describes classification characteristics of a corresponding classification in the initial classification structure tree.

20. The one or more computer storage media as recited in claim 16, wherein the root node of the reorganized classification structure tree represents data source characteristics of the reorganized classification structure tree.