Utilization of a concept to obtain data of specific interest to a user from one or more data storage locations

• US 10,515,069 B2
• Filed: 02/26/2015
• Issued: 12/24/2019
• Est. Priority Date: 08/15/2013
• Status: Active Grant

• Current Assignee: Breakwater Solutions LLC
• Original Assignee: International Business Machines Corporation
• Inventors: Arnold, Richard W., Bishop, Thomas P., Esho, Olushola O., McCoy, Jordan R.
• Primary Examiner(s): Bromell, Alexandria Y
• Application Number:
  US14/632,808
• Publication Number:
  US 20150278286A1
• Time in Patent Office: 1,762 Days
• Field of Search: 707737, 707741, 707754, 707756, 707763, 707709, 707711, 707738, 707776
• CPC Class Codes: G06F 16/1734 Details of monitoring file system events, e.g. by the use of hooks, filter drivers, logs
• CPC Class Codes: G06F 16/21 Design, administration or maintenance of databases
• CPC Class Codes: G06F 16/2228 Indexing structures
• CPC Class Codes: G06F 16/2365 Ensuring data consistency and integrity
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/90332 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A computer-implemented method of obtaining data of interest from a larger set of data that has been indexed is provided, the method comprising defining, via a user interface of a computing device, a set of attributes associated with a concept. Each attribute associated with the concept is mapped to attributes associated with indexed data, and data of interest relevant to the concept is retrieved based upon the mapping of attributes associated with the concept to attributes associated with the indexed data.

Claims

1. A computer-implemented method of obtaining a set of data of interest from a larger set of data that has been indexed, the method comprising:

at a processor of a computing device, receiving information for defining a set of attributes and mapping information;

associating the set of attributes with a concept, the concept defining and representing a class of information that represents a business object;

mapping each attribute associated with the concept to an attribute associated with data in an index that is generated based on data harvested from, but stored separately from, a plurality of indexed data source systems;

automatically identifying constituents of interest based on the attributes associated with the concept and the mapping of the attributes, wherein the constituents of interest are data objects associated with the concept;

transforming the concept by adding one or more of the constituents of interest to the concept and by generating one or more data filters for each of the one or more constituents of interest;

updating the mapping based on at least the one or more constituents of interest;

utilizing one or more adaptors with the one or more data filters to generate an information set relevant to the transformed concept by tagging data in the index based upon the updated mapping, without accessing an underlying indexed data source system;

wherein the information set includes at least two members from different data source systems, and generating the information set further comprises;

generating a list of object identifiers with each object identifier corresponding to a member of the information set and referencing a corresponding record in the index; and

accessing data items of a plurality of different data source systems using the information set, wherein the list of object identifiers directly references indexed data to reduce access time to the data items of the different data source systems;

each data source system determining members of the information set based on an index corresponding to that data source system, wherein the determining members includes;

dividing the determination of members into a plurality of tasks; and

executing the plurality of tasks in parallel to determine members with reduced processing time; and

applying one or more operations to the information set to transform corresponding data in the underlying indexed data source systems, wherein the one or more operations include a deletion operation, a copy operation, an export operation, and a move operation.

2. The method of claim 1, wherein the concept comprises at least one of an identity, a company department, an organization, a company vendor, a product associated with a company, a project, and a custodian.

3. The method of claim 1, wherein the information set comprises a set of data comprising data records associated with one or more of the indexed data source systems that each have an access interface.

4. The method of claim 1, further comprising:

utilizing an adaptor to generate the information set, the adaptor associated with a retrieval query utilizing the transformed concept.

5. The method of claim 1, further comprising:

generating one or more data filters for the constituents of interest; and

generating the information set with the one or more generated data such that data that does not match the transformed concept is excluded from the information set.

6. The method of claim 1, further comprising:

storing the set of attributes associated with the concept;

storing the mapping of each attribute associated with the concept; and

utilizing the stored set of attributes and the stored mapping for subsequent data retrieval.

7. The method of claim 1, wherein the set of attributes is a first set of attributes, the information set is a first information set, and the method further comprises:

receiving information for defining a second set of attributes;

associating the first set of attributes with the concept;

associating the second set of attributes with the concept;

mapping the first set of attributes and the second set of attributes to attributes associated with data in the index; and

generating the first information set and a second information set relevant to the transformed concept, wherein the first information set is associated with the first set of attributes and the second information set is associated with the second set of attributes, such that the first information set and the second information set are different from each other.

8. The method of claim 7, wherein the first information set is associated with a first user and the second information set is associated with a second user, and the method further comprising:

executing a query using the first information set to direct the query to members of the first information set and produce results of interest to the first user; and

executing the query using the second information set to direct the query to members of the second information set and produce different results that are of interest to the second user.

9. The method of claim 1, further comprising:

applying an operation to the information set by;

identifying a plurality of different data source systems containing at least one member of the information set based on membership information;

assigning tasks to the identified data source systems to apply the operation to only those members of the information set residing on the identified data source systems; and

executing the assigned tasks concurrently on the on the identified data source systems to apply the operation to the information set.

10. The method of claim 1, further comprising:

executing a query against a plurality of different data source systems using the information set, wherein the mapping of attributes to indexed data reduces retrieval time of search results for the query.