ADAPTIVE ARCHIVE DATA MANAGEMENT

• US 20080263029A1
• Filed: 04/18/2008
• Published: 10/23/2008
• Est. Priority Date: 04/18/2007
• Status: Active Grant

• Current Assignee: Aunmi Data Incorporated
• Original Assignee: Aumni Data Incorporated
• Inventors: Guha, Aloke, Wrabetz, Joan
• Granted Patent: US 7,912,816 B2
• Time in Patent Office: Days
• US Class Current: 707/5
• CPC Class Codes: G06F 16/313 Selection or weighting of terms for indexing
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

In one embodiment, input is received from a user defining a classification and an analytic for the classification. Multiple classifications and analytics may be defined by a user. A definition of relevance parameters is determined that characterize the classification and a set of analytics measures associated with the analytic. The definition may be for the classification. Unstructured data and structured data are analyzed based on the definition of the relevance parameters to determine relevant data in the unstructured data and the structured data. The relevant data being data that is determined to be relevant to the classification defined by the user. An index of the terms from the relevant data is determined. The index is useable by an analytics tool to provide results for queries of the unstructured data and structured data. The query may be used within the classification such that targeted results are provided using the index and the relevant data to the classification. Thus, queries from different classifications may be performed efficiently using data determined to be relevant to the classification.

Claims

1. A method for indexing data, the method comprising:

receiving input from a user defining a classification and an analytic for the classification;

determining a definition of relevance parameters that characterize the classification;

determining relevant data from unstructured and structured data based on the definition of relevance parameters, the relevant data being data that is determined to be relevant to the classification defined by the user;

analyzing the relevant data from unstructured data and structured data based on the relevance parameters to determine terms in the relevant data; and

generating an index of the terms from the relevant data based on the analyzing of the relevant data;

receiving a query from an analytics tool, the query specifying the classification and an analytics measure, wherein the index useable by an analytics tool to provide results for the query using the analytics measure as applied to the unstructured data and structured data in the relevant data indexed in the classification.

2. The method of claim 1, further comprising receiving one or more data sources for the classification, wherein data in the one or more data sources is analyzed to determine the relevant data.

3. The method of claim 1, wherein the relevance parameters comprise attributes that are determined to be relevant to defining the classification.

4. The method of claim 1, wherein the relevance parameters are derived from one or more data sources including unstructured data to be searched.

5. The method of claim 1, wherein the relevance parameters comprise one or more keywords or phrases associated with the classification, wherein the analyzing comprises searching for the keywords or phrases in the unstructured data and structured data.

6. The method of claim 1, wherein the relevance parameters comprise one or more attributes or feature associated with the classification, wherein the analyzing comprises searching for the non-text data in the unstructured data and structured data.

7. The method of claim 1, wherein the analytic measure comprises a subject area to be analyzed.

8. The method of claim 1, wherein the analytics measure comprises a quantitative metric of an analytic.

9. The method of claim 1, further comprising:

receiving a query from the analytics tool;

searching the index based on the index terms;

determining a classification for the query;

determining relevant data indexed for the classification; and

determining a result for the query based on a search of the determined relevant data.

10. The method of claim 1, wherein the analytics tool further processes the result using the analytic measure.

11. The method of claim 1, wherein the unstructured data comprises text, audio, image or video.

12. The method of claim 1, further comprising:

determining feedback based on the results determined; and

modifying the classification and the index based on the feedback.

13. The method of claim 1, wherein the index is created for use by an entity running the analytics tool.

14. An apparatus configured to index data, the apparatus comprising:

one or more processors; and

logic encoded in one or more tangible media for execution by the one or more processors and when executed operable to;

receive input from a user defining a classification and an analytic for the classification;

determine a definition of relevance parameters that characterize the classification;

determine relevant data from unstructured and structured data based on the definition of relevance parameters, the relevant data being data that is determined to be relevant to the classification defined by the user;

analyze the relevant data from unstructured data and structured data based on the relevance parameters to determine terms in the relevant data; and

generate an index of the terms from the relevant data based on the analyzing of the relevant data;

receive a query from an analytics tool, the query specifying the classification and an analytics measure, wherein the index useable by an analytics tool to provide results for the query using the analytics measure applied to the unstructured data and structured data in the relevant data indexed in the classification.

15. The apparatus of claim 14, wherein the relevance parameters comprise attributes that are determined to be relevant to defining the classification.

16. The apparatus of claim 14, wherein the relevance parameters are derived from one or more data sources including unstructured data to be searched.

17. The apparatus of claim 14, wherein the relevance parameters comprise one or more keywords or phrases associated with the classification, wherein the analyzing comprises searching for the keywords or phrases in the unstructured data and structured data.

18. The apparatus of claim 14, wherein the relevance parameters comprise one or more attributes or feature associated with the classification, wherein the analyzing comprises searching for the non-text data in the unstructured data and structured data.

19. The apparatus of claim 14, wherein the logic is further operable to:

receive a query from the analytics tool;

search the index based on the index terms;

determine a classification for the query;

determine relevant data indexed for the classification; and

determine a result for the query based on a search of the determined relevant data.

20. The apparatus of claim 14, wherein the logic is further operable to:

determine feedback based on the results determined; and

modify the classification and the index based on the feedback.