TECHNIQUES FOR KNOWLEDGE DISCOVERY BY CONSTRUCTING KNOWLEDGE CORRELATIONS USING CONCEPTS OR TERMS

• US 20120136863A1
• Filed: 02/01/2012
• Published: 05/31/2012
• Est. Priority Date: 11/12/2004
• Status: Active Grant

• Current Assignee: Make Sence Incorporated
• Original Assignee: Make Sence Incorporated
• Inventors: Bobick, Mark, Wimmer, Carl
• Granted Patent: US 9,330,175 B2
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/20 of structured data, e.g. relational data
• CPC Class Codes: G06F 16/36 Creation of semantic tools, e.g. ontology or thesauri
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

Techniques for identifying knowledge use a graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge using information about relation types. Information about relations types is determined using a relation classifier.

Claims

1. A method for identifying knowledge, comprising the steps of:

a. inputting one or more terms to be explored for additional knowledge;

b. searching one or more sources of information to identify resources containing information about or information associated with said terms;

c. decomposing resources identified during searching into nodes;

d. storing nodes in a node pool; and

e. from the node pool, construct correlations of nodes representing knowledge using information about relation types.

2. A computer program product comprising:

a. a memory medium; and

b. programming statements stored on said memory medium for controlling a computer to perform the functions of;

b1. inputting one or more terms to be explored for additional knowledge;

b2. searching one or more sources of information to identify resources containing information about or information associated with said terms;

b3. decomposing resources identified during searching into nodes;

b4. storing nodes in a node pool; and

b5. from the node pool, construct correlations of nodes representing knowledge using information about relation types.

3. Apparatus for identifying knowledge, comprising:

a. an input mechanism inputting one or more terms to be explored for additional knowledge;

b. a search mechanism for searching one or more sources of information to identify resources containing information about or information associated with said terms;

c. a analysis mechanism for decomposing resources identified during searching into nodes;

d. a storing mechanism for storing nodes in a node pool; and

e. a correlation mechanism for constructing correlations of nodes from the node pool representing knowledge using information about relation types.

4. A system comprising:

a. a network;

b. one or more computers connected to said network;

c. at least one computer connected to said network comprising

c1. an input mechanism inputting one or more terms to be explored for additional knowledge;

c2. a search mechanism for searching one or more sources of information to identify resources containing information about or information associated with said teims;

c3. a analysis mechanism for decomposing resources identified during searching into nodes;

c4. a storing mechanism for storing nodes in a node pool; and

c5. a correlation mechanism for constructing correlations of nodes from the node pool representing knowledge using information about relation types.

5. A method of associating elemental units of information in the form of nodes comprising the steps of:

a. classifying one or more nodes by relation type; and

b. determining whether to associated a node with another node based on said relation type.