System and Method of Uniformly Classifying Information Objects with Metadata Across Heterogeneous Data Stores

• US 20080270462A1
• Filed: 11/06/2007
• Published: 10/30/2008
• Est. Priority Date: 04/24/2007
• Status: Abandoned Application

• Current Assignee: Interse A/S (NEC Corporation), Scan Jour A/S (NEC Corporation)
• Original Assignee: Interse A/S (NEC Corporation)
• Inventors: Thomsen, Dan
• Application Number:
  US11/935,607
• Publication Number:
  US 20080270462A1
• Time in Patent Office: Days
• US Class Current: 707/103R
• CPC Class Codes: G06F 16/2471 Distributed queries
• CPC Class Codes: G06F 16/256 in federated or virtual databases
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification

Abstract

Described are a system and method for classifying information objects with metadata across heterogeneous data stores. A metadata model includes a plurality of interconnected nodes. A least one of the nodes corresponds to a metadata instance and at least one of the nodes corresponds to a metadata category. Information related to an information object maintained in a data store is acquired. A look up of the metadata model finds one or more metadata instances and metadata categories based on the acquired information related to the information object. One or more of the found metadata instances and metadata categories are associated with the information object maintained in the data store.

Claims

1. A computerized method for classifying information objects with metadata across heterogeneous data stores, the method comprising:

providing a metadata model comprising a plurality of interconnected nodes, at least one of the nodes corresponding to a metadata instance and at least one of the nodes corresponding to a metadata category;

acquiring information related to an information object maintained in a data store;

looking up the metadata model to find one or more metadata instances and metadata categories based on the acquired information related to the information object; and

associating one or more of the found metadata instances and metadata categories with the information object maintained in the data store.

2. The computerized method of claim 1, wherein the step of associating includes the steps of:

generating a catalog item;

uniquely associating the catalog item with the information object; and

recording a pointer on the catalog item to each metadata instance associated with the information object.

3. The computerized method of claim 1, further comprising the step of automatically propagating the one or more found metadata instances to the data store for use by the data store as metadata associated with the information object.

4. The computerized method of claim 1, further comprising the step of identifying a user classifying the information object, and

wherein the step of looking up the metadata model excludes metadata instances and metadata categories having an assigned user-access right that prohibits the user from classifying information objects with such metadata instances and metadata categories.

5. The computerized method of claim 4, further comprising the step of:

before associating found metadata instances and metadata categories with the information object, displaying to the user each such metadata instance and metadata category having an assigned user-access right that grants permission to the user to associate with the information object; and

enabling the user to select one or more of the displayed metadata instances for association with the information object.

6. The computerized method of claim 5, further comprising the step of embedding object-classification software in an application program used to interface with the information object, the object-classification software performing the steps of looking up, identifying, displaying, enabling, and associating when the information object is to be saved in one of the data stores.

7. The computerized method of claim 6, wherein the application program is one of a word processing program, a spreadsheet program, a slide presentation software, an email program, a PDF reader, a file system, and a browser.

8. The method of claim 1, wherein the steps of looking up and associating occur automatically upon saving the information object in one of the data stores.

9. The computerized method of claim 1, wherein the acquired information is text taken from content of the information object, and further comprising the step of comparing the text with a synonym associated with a given metadata instance to determine whether that metadata instance may be associated with the information object.

10. The computerized method of claim 1, wherein the acquired information is text taken from content of the information object, and further comprising the step of comparing the text with a language variation associated with a given metadata instance to determine whether that metadata instance may be associated with the information object.

11. The computerized method of claim 1, wherein the step of looking up the metadata model includes acquiring a term from the information object and comparing the term with a relation of a given metadata instance to determine whether that metadata instance may be associated with the information object.

12. The computerized method of claim 1, wherein the steps of:

acquiring a name corresponding to an electronic location in which the information object resides;

looking up the metadata model to find one or more metadata instances that can be associated with the electronic location;

generating a catalog item uniquely associated with the electronic location; and

recording one of more of the metadata instances found for the electronic location on the catalog item uniquely associated with the electronic location.

13. The computerized method of claim 12, further comprising the steps of:

identifying each catalog item uniquely associated with an information object that resides in a hierarchical position below the electronic location; and

recording the metadata instances associated with the electronic location on each identified catalog item.

14. A system for classifying information objects with metadata across heterogeneous data stores, the system comprising:

a metadata model comprising a plurality of interconnected nodes, at least one of the nodes corresponding to a metadata instance and at least one of the nodes corresponding to a metadata category; and

a classifier acquiring information related to an information object maintained in a data store and looking up the metadata model to find one or more metadata instances and metadata categories based on the acquired information related to the information object, the classifier associating one or more of the found metadata instances and metadata categories with the information object.

15. The system of claim 14, wherein the classifier associates metadata instances and metadata categories with the information object by:

generating a catalog item;

uniquely associating the catalog item with the information object; and

recording a pointer on the catalog item to each metadata instance associated with the information object.

16. The system of claim 14, wherein the classifier automatically propagates the one or more found metadata instances to the data store for use by the data store as metadata associated with the information object.

17. The system of claim 14, wherein the classifier identifies a user classifying the information object and excludes metadata instances and metadata categories having an assigned user-access right that prohibits the user from classifying information objects with such metadata instances and metadata categories.

18. The system of claim 17, wherein before associating found metadata instances and metadata categories with the information object, the classifier displays to the user each such metadata instance and metadata category having an assigned user-access right that grants permission to the user to associate with the information object, and enables the user to select one or more of the displayed metadata instances for classifying the information object.

19. The system of claim 18, further comprising an application program used to interface with the information object in the data store, the application program having the classifier embedded therein, the application program executing the classifier before saving the information object in the data store.

20. The system of claim 19, wherein the application program is one of a word processing program, a spreadsheet program, a slide presentation software, an email program, a PDF reader, a file system, and a browser.

21. The system of claim 14, wherein the classifier acquires the information related to the information object from text in a body of the information object, and the classifier compares the text with any synonym, any language variation, and any relation associated with a given metadata instance to determine whether that metadata instance may be associated with the information object.

22. The system of claim 14, wherein the classifier acquires a name corresponding to an electronic location in which the information object resides, looks up the metadata model to find one or more metadata instances that can be associated with the electronic location, generates a catalog item uniquely associated with the electronic location, and records one of more of the metadata instances found for the electronic location on the catalog item uniquely associated with the electronic location.

23. The system of claim 22, wherein the classifier records on the catalog item uniquely associated with the information item each metadata instance recorded on the catalog item uniquely associated with the electronic location.