IP Library Granted Patent US 8,863,301
Granted Patent B2
US 8,863,301 · App. 13/903,095 · Granted Oct 14, 2014

Classification of an electronic document

Inventors: Sheshnarayan Agrawal (Bangalore, IN); Prasad M. Deshpande (Mumbai, IN); Mukesh K. Mohania (New Delhi, IN); Karin Murthy (Bangalore, IN); Deepak S. Padmanabhan (Kochi, IN)
Assignee: International Business Machines Corporation
G06F21/62G06F21/6218
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Quick Facts
Patent No.
US 8,863,301
App. No.
13/903,095
Granted
Oct 14, 2014
Kind
B2
Abstract

A computer receives an electronic document that includes a group of terms. The computer sends the electronic document to an information extraction program that extracts specific terms from the group of terms. Each of the specific terms that match to a certain extent with one of the attribute values in an electronic dictionary is identified. A value associated with the electronic document is generated based on the specific terms that match, and on an end-user that is attempting to access the electronic document.

Claims (12)

1. A computer implemented method for generating a value associated with an electronic document, the method comprising the steps of:

receiving an electronic document;

receiving data that identifies an end-user that is attempting to access the electronic document;

determining, by fuzzy matching, a threshold number of similarities between one or more terms in the electronic document and one or more attribute values in an electronic dictionary;

responsive to determining that at least the threshold number of similarities exist between the one or more terms and the one or more attribute values, associating one or more attribute scores associated with the one or more attribute values in the electronic dictionary with the one or more terms in the electronic document; and

assigning a document score to the electronic document based, at least in part, on the one or more attribute scores, wherein the value is specific to the end-user.

2. The method of claim 1 , wherein the step of associating the scores with the terms within the electronic document further comprises sending the electronic document to an information extraction program.

3. The method of claim 1 , wherein the step of generating the value associated with the electronic document comprises performing computations on the associated scores to obtain the value.

4. The method of claim 1 , wherein the value associated with the electronic document is utilized to classify the electronic document for data security purposes.

5. The method of claim 1 , wherein the attribute scores in electronic dictionary are based, at least in part, on the position of one or more key terms in a table, and wherein the one or more key terms are substantially similar to the one or more attribute values in the electronic dictionary.

6. The method of claim 5 , wherein the table has one or more columns and one or more rows, wherein the one or more columns have an associated column score, and wherein the one or more rows have an associated column score.

7. The method of claim 6 , wherein the attribute scores in the electronic dictionary are based, at least in part, on the column score and the row score associated with the one or more key terms.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 28, 2013
From: AGRAWAL, SHESHNARAYAN; DESHPANDE, PRASAD M.; MOHANIA, MUKESH K.; MURTHY, KARIN; PADMANABHAN, DEEPAK S.
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 030492/0466 →
Continuity (2)
Continuation 13471971 · May 15, 2012
Related Publication 20130312107A1 · Nov 21, 2013