SYSTEM AND METHOD FOR PREVENTING NFORMATION INFERENCING FROM DOCUMENT COLLECTIONS

• US 20110282862A1
• Filed: 05/14/2010
• Published: 11/17/2011
• Est. Priority Date: 05/14/2010
• Status: Abandoned Application

• Current Assignee: Telcordia Technologies Incorporated (Telefonaktiebolaget LM Ericsson)
• Original Assignee: Telcordia Technologies Incorporated (Telefonaktiebolaget LM Ericsson)
• Inventors: Loeb, Shoshana K., Panagos, Euthimios
• Application Number:
  US12/779,993
• Publication Number:
  US 20110282862A1
• Time in Patent Office: Days
• US Class Current: 707/710
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 21/6227 where protection concerns the structure of data, e.g. records, types, queries
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes

Abstract

A method for preventing information inferencing from documents comprises creating a document collection view from the documents, obtaining rules based on information to be hidden, establishing a plurality of levels of the rules, said levels ranging from a shallow level to a deepest level, for each level of the rules, from the shallow level to the deepest level, examining the document collection view in accordance with the level of the rules, when said examining detects inferencing, performing trace and repair on the document collection view, and outputting the document collection view. Examining can be performed using a search engine, a natural language processing engine, and a conceptual inferencability engine. The shallow level can correspond to a search engine, a deep level can correspond to a natural language processing engine, and a deepest level can correspond to a conceptual inferencability engine. The documents can be data in digital form.

Claims

1. A system for preventing information inferencing from documents, comprising:

one or more engines, each engine operable on a processor;

a document collection view created from the documents;

an output device for displaying the document collection view;

rules based on information to be hidden; and

a plurality of levels of the rules, said levels ranging from a shallow level to a deepest level, each level corresponding to one of said one or more engines, wherein, for each engine, the engine examines the document collection view and when the engine detects inferencing, trace and repair is performed on the document collection view.

2. The system according to claim 1, wherein the engines are at least a search engine, a natural language processing engine, and a conceptual inferencability engine.

3. The system according to claim 1, wherein the shallow level of the rules corresponds to a search engine, a deep level of the rules corresponds to a natural language processing engine, and a deepest level of the rules corresponds to a conceptual inferencability engine.

4. The system according to claim 1, wherein the documents are data in digital form.

5. A method for preventing information inferencing from documents, comprising

creating a document collection view from the documents;

obtaining rules based on information to be hidden;

establishing a plurality of levels of the rules, said levels ranging from a shallow level to a deepest level;

for each level of the rules, from the shallow level to the deepest level;

examining the document collection view in accordance with the level of the rules;

when said examining detects inferencing, performing trace and repair on the document collection view; and

outputting the document collection view.

6. The method according to claim 5, wherein the step of examining is performed using at least a search engine, a natural language processing engine, and a conceptual inferencability engine.

7. The method according to claim 5, wherein the shallow level of the rules corresponds to a search engine, a deep level of the rules corresponds to a natural language processing engine, and a deepest level of the rules corresponds to a conceptual inferencability engine.

8. The method according to claim 5, wherein the documents are data in digital form.

10. The medium according to claim 5, wherein the step of examining is performed using at least a search engine, a natural language processing engine, and a conceptual inferencability engine.

11. The medium according to claim 5, wherein the shallow level of the rules corresponds to a search engine, a deep level of the rules corresponds to a natural language processing engine, and a deepest level of the rules corresponds to a conceptual inferencability engine.

9. A computer readable storage medium storing a program of instructions executable by a machine to perform a method for preventing information inferencing from documents, comprising

creating a document collection view from the documents;

obtaining rules based on information to be hidden;

establishing a plurality of levels of the rules, said levels ranging from a shallow level to a deepest level;

for each level of the rules, from the shallow level to the deepest level;

examining the document collection view in accordance with the level of the rules;

when said examining detects inferencing, performing trace and repair on the document collection view; and

outputting the document collection view.

12. The medium according to claim 9, wherein the documents are data in digital form.