IP Library Granted Patent US 8,700,658
Granted Patent B2
US 8,700,658 · App. 13/596,539 · Granted Apr 15, 2014

Relational meta model and associated domain context-based knowledge inference engine for knowledge discovery and organization

Inventors: Ajay Manoj Rambhia (Sacramento, CA); Henri Philippe Wiazowski (San Jose, CA); Reginald Louis Bravo (San Martin, CA)
Assignee: knf Technologies, Inc.
G06F17/30
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Quick Facts
Patent No.
US 8,700,658
App. No.
13/596,539
Granted
Apr 15, 2014
Kind
B2
Abstract

Methods and systems for knowledge discovery and organization employ a relational meta model and domain context-based knowledge inference engine to produce answers to queries that involve inferences among items stored as knowledge in a knowledgebase.

Claims (18)

1. A system comprising:

a database configured to store a plurality of meta models, each meta model being associated with a domain and including one or more two-dimensional data structures, each with a plurality of columns, each column being associated with a title and the title being associated with one or more definitions or aliases, the two-dimensional data structures being populated with data derived from and correlated to a data schema and organized within the two-dimensional data structures according to at least one of the title, definition, and alias;

a processor configured to execute a set of instructions stored on a memory;

the memory configured to store the set of instructions, which when executed by the processor cause the processor to:

receive a query from a user via a user interface, the query containing one or more keywords and a domain;

decode the query to determine a query type and compare the received domain and keywords to at least one of the titles, definitions, and aliases associated with the respective meta models and, when a match is found, saving save a record of the match;

use the query type, domain, keywords, and records to obtain a relational related data stream for each matching meta model;

generate a new meta model comprising a collection of attributes obtained from the matching meta models using the query type, domain, keywords, records, and related data stream for each matching meta model, wherein the new meta model is derived from attribute relationships in one or more of the matching meta models and corresponding fields in data schemas of data stores maintained by one or more remote systems, which data stores are configured to accessed by the processor via corresponding data access interfaces, wherein relationships between the new meta model and the matching meta models are specified by relationship structures stored in the database;

select one or more query results from the new meta model using the relational related data stream;

provide the selected query results to the user interface;

generate a new meta model using the domain, keywords, records, and relational data stream for each matching meta model; and

the user interface configured to receive the query from the user and display query results to the user.

2. The system of claim 1 , wherein the a base meta model includes at least two two-dimensional data structures related to one another via one or more relationships.

3. The system of claim 2 , wherein the relationship is defined by at least one of a proportionality expression, an arithmetic expression, a set of qualifications, and a column title shared by at least one column of each of the at least two of the two-dimensional data structures represented as meta models.

4. The system of claim 1 , wherein the set of instructions further cause the processor to:

analyze the received query;

categorize the query responsively to the analysis; and

select the one or more query results responsively to the categorization.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 28, 2012
From: RAMBHIA, AJAY M.; WIAZOWSKI, HENRI P.; BRAVO, REGINALD L.
To: KNF TECHNOLOGIES, INC.
Reel/Frame 028862/0751 →
Continuity (2)
Provisional Application 61530356 · Sep 1, 2011
Related Publication 20130060807A1 · Mar 7, 2013